Nvidia

We are building the software infrastructure for the next era of scientific discovery. At NVIDIA, we believe AI will transform how new chemicals and materials are discovered. We are developing the software tools to make that possible! NVIDIA ALCHEMI is a key pillar of this stack, and this role will help shape ALCHEMI and the broader software ecosystem around it. We are looking for a technical leader at the frontier of AI, simulation, and chemistry. You will turn sophisticated research into software that scientists use for real discovery. You will work across research, engineering, product, and strategic partnerships. You will help define how NVIDIA builds software for chemistry and materials science. What you’ll be doing: Serve as NVIDIA's technical SME, engaging with internal and external stakeholders, customers, users and product teams to design developer tools, APIs, and workflows for chemistry and materials science. Work across organizations to shape and prioritize features for NVIDIA ALCHEMI and related software efforts. Translate advances in ML interatomic potentials, generative modeling, and quantum chemistry into product direction. Bring together inputs from researchers, partners, and internal teams to guide priorities. Represent NVIDIA at leading scientific conferences, workshops, and industry events. What we need to see: PhD in computational chemistry, materials science, computer science, or a related field; or equivalent experience. 8+ years building AI or machine learning software for chemistry or materials applications. Strong experience with GPU-accelerated computing and modern ML frameworks. Deep knowledge of machine learning interatomic potentials, generative modeling, and quantum chemistry workflows. Experience architecting scientific software, developer platforms, or technical products. Strong communication skills across technical and non-technical audiences. Ways to stand out from the crowd: High-impact publications in AI for chemistry, molecular modeling, or materials discovery. Experience with CUDA, parallel programming, or performance-focused software development. Experience leading software or product development in a fast paced technical environment. Contributions to open-source software for simulation, chemistry, or materials science. We work on problems that matter, with people who care deeply about technical excellence. This role offers the chance to build a critical software stack for chemistry and materials science supported by advanced computing. You will contribute to crafting tools that support researchers, partners, and developers across the ecosystem. It is an opportunity to build technology that can accelerate discovery at global scale! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 17, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, we’re transforming the way the world interacts with technology. Our CPUs are at the heart of groundbreaking innovations across AI, gaming, and autonomous vehicles. Join our CPU Performance Architecture team in Santa Clara, CA, and be part of a company that is pushing boundaries and making an outstanding impact globally. This is your opportunity to help build the future of computing with your expertise and passion! What you'll be doing: Innovating and improving CPU performance through modern microarchitectural ideas. Modeling potential improvements to determine their merit and feasibility. Implementing effective solutions and collaborating closely with build, verification, and post-silicon teams. Resolving critical issues related to timing, power, and area to achieve flawless implementation. Partnering with lead microarchitects to meet the CPU core’s performance, area, and power targets. Advocating for microarchitectural ideas, communicating their benefits and drawbacks in various mediums. Driving the microarchitecture segment with enthusiasm and energy, leading by example. What we need to see: Deep understanding of brand new CPU microarchitecture and architecture. Proven track record of CPU microarchitectural innovation across areas such as Front End CPU Uarch, Midcore CPU Uarch, and Memory Subsystem CPU Uarch. Experience in performance modeling, debugging, and demonstrating the merit of innovative ideas. Close collaboration skills with build and verification teams to successfully implement microarchitectural improvements. At least 8 years of experience in a frontline role within brand new CPU projects. Strong critical thinking, communication, and advocacy abilities. Minimum educational requirement: Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field, or equivalent experience. Ways to stand out from the crowd: Experience leading microarchitecture segments and driving initiatives. History of collaboration with architects and microarchitects to achieve ambitious targets. Demonstrated ability to think critically and advocate for complex ideas successfully. Enthusiasm for driving innovation and leading by doing. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 17, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Are you passionate about shaping the future of data center CPU platforms? NVIDIA is looking for a Solutions Architect experienced in Arm-based server CPUs to join our dynamic team in Santa Clara, CA. Act as the technical liaison for NVIDIA’s CPU portfolio with cloud partners, encouraging adoption and improving next-generation cloud instances and services. This role offers a chance to be part of a team that values innovation and collaboration while advancing performance and scalability benchmarks.  What you’ll be doing: As an expert on our data center CPU portfolio, you will work alongside NVIDIA Cloud Partners (NCPs) as we develop and run hosted AI services. Together, we will architect and validate multi-tenant cloud infrastructure based on ARM server CPUs, actively influencing reference architectures, our CPU roadmap, and deployment guides to ensure top-tier performance, scalability, and multi-tenancy. Workload Migration & Ecosystem Readiness: We will guide customers through the porting and optimization of x86 workloads to ARM while collaborating with ISVs and open-source communities to guarantee application readiness across our entire software stack. Performance Tuning & Issue Resolution: We will implement rigorous performance analysis and benchmarking of key cloud workloads, partnering closely with our internal engineering teams to solve complex scalability and reliability issues across the CPU, memory, and networking levels. Technical Evangelism & Content Creation: We need you to prepare highly sought-after technical content and present at customer build reviews, executive briefings, and industry events to help us clearly articulate the technical and business value of our NVIDIA CPUs. What we need to see: Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience in the field. 8+ years in solution architecture, systems engineering, performance engineering, or similar technical customer-facing role. Solid understanding of server CPU architecture and microarchitecture. Hands-on experience with Arm-based server processors and the Arm software ecosystem. Experience migrating applications from x86 or other ARM platforms, resolving ISA compatibility issues, recompiling dependencies, and applying targeted optimizations to improve performance on the target device. Skill in constructing credible head-to-head comparisons against competing silicon by controlling for process node, memory configuration, and compiler flags to produce publishable performance claims. Measuring real-world efficiency and thermal performance to prove superior TCO advantages over competitors. Deep familiarity with Linux on Arm, including kernel parameters, packaging, and system bring-up for data center platforms. Ways to stand out from the crowd: Hands-on experience configuring bootloaders, kernel drivers, and OS distributions (Linux, RTOS) to rapidly stand up a working software environment on production ARM hardware. Practical experience operating production workloads on major public cloud providers, supported by a solid grasp of modern data center architectures and the interaction between CPUs, GPUs, and networking. Hand-on experience with benchmark suites (SPEC CPU, MLPerf, custom traces) to characterize customer workloads and produce compelling performance comparisons. Strong proficiency in C/C++ and at least one scripting language for tooling, automation, and performance experiments. Superb communication and presentation skills, with the ability to engage both deep technical and executive audiences. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/  Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 17, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for a Senior AI Compute Engineer to join its Infrastructure Specialists team. Academic, commercial and government groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI Compute systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large-scale AI Compute projects. These efforts include a combination of networking, system design and automation and validation. What you will be doing: Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers. Be the domain expert with customers during planning calls through implementation. Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world! Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: 8+ years providing in-depth support and deployment services; solving problems for hardware and software products. Knowledge and experience with Linux system administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring). Cluster management and provisioning technologies for bare-metal servers (bonus credit for BCM (Base Command Manager)). Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience. Scripting proficiency (Bash, Python, Ansible, etc.). Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise. Strong organizational skills and ability to prioritize/multi-task easily with limited supervision. Experience with schedulers such as SLURM, LSF, UGE, etc. An ability to travel to customer sites within the United States up to 20% of the time. Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience. Ways to stand out from crowd: InfiniBand experience. Experience with GPU (Graphics Processing Unit) focused hardware/software. Experience with MPI (Message Passing Interface). Storage technologies such as Lustre or GPFS. Familiarity with OEM GPU platforms NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 17, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Join our team at NVIDIA and help bring AI solutions to our largest customers. We are seeking an expert Solutions Architect to assist customers in building AI/ML and HPC software solutions at scale. As a member of our Solutions Architecture team, you will collaborate with strategic customers, providing end-to-end technology solutions and technical support based on our product strategy. Come join us! What you’ll be doing: Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies. Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions. Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference. Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions. Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers. Analyzing and developing solutions for customer performance issues for both AI and systems performance. What we need to see: BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. 8+ years of engineering (performance/system/solution) experience. Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference. Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application. Effective engineering program management with the capability of balancing multiple tasks. Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments. Ways to stand out from the crowd: Hands-on experience with Deep Learning frameworks (PyTorch, JAX, etc.), compilers (Triton, XLA, etc.), and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, etc.). Familiarity with deep learning architectures and the latest LLM developments. Background with NVIDIA hardware and software, performance tuning, and error diagnostics. Hands-on experience with GPU systems in general including but not limited to performance testing, performance tuning, and benchmarking. Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI as well as knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. Command line proficiency. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 12, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for Senior Software Development Engineer in Test to join our Compute CUDA Quality Assurance team for NVIDIA's Enterprise SWQA release schedules. Are you passionate about automation development, test and validation infrastructure? Do you excel using AI tools to aid in solving complex issues? We'd love to have your skills on the team! As an engineer on this automation team, you will automate testbench independent test specification and execution workflows for worldwide chip validation teams running tests on silicon along with automation framework/infrastructure development. You will develop a system operating at large scale, running hundreds of tests per day in distributed heterogeneous servers with NVIDIA's GPUs connect to verify multiple designs/POR in many configurations those are sitting in automation farm or in cloud. You will continuously innovate and develop scalable, reliable, high performance systems and tools to enable the next generation of chips. What you’ll be doing: Develop test plan and orchestrate testing for Compute software releases on all new compute architecture platforms including Tesla GPUs, Nvidia turnkey systems and OEM systems. Develop a robust test infrastructure incorporating advanced AI tools to significantly enhance our testing capabilities and streamlining operations for more efficient and accurate results. Improve code coverage, elevating the overall quality of our codebase and reliability of our testing processes and develop roadmaps prioritizing software development schedule for full life-cycle of tool development, test, and deployment Collaborate across teams to identify new features and lead developers in definition, automation implementation, and productization of those features in timely manner Build and operate key pieces of a complete infrastructure for automation framework development, as well as, lead and develop automation support and participate in automation of manual test cases, working closely with automation infrastructure Focus on an efficient customer experience by improving both usability and ease to attain optimal performance Test both software functionality and internal code/structure and run regression tests for existing CUDA/Driver features. Work in a dynamic agile software development team with very high production quality standards. What we need to see: BS or MS in Engineering (or equivalent experience) with 5+ years testing SW development cycle. Solid understanding of embedded systems, Linux, Python, C and C++. Experience with cloud infrastructure is a big plus, particularly hands-on work with designing, deploying, and maintaining scalable systems on major cloud platforms. Familiarity with cloud-native architectures, automation, monitoring, security guidelines, and performance optimization in distributed environments will be highly valued. Proven experience with AI tools for automation and test plan development directly applied to daily tasks. This expertise is crucial for enhancing performance, developing robust frameworks, and increasing test coverage. Strong technical skills, with deep understanding of orchestration & automation systems, data centers and cloud architecture combined. Solid understanding in QA methodology and pay attention to details. Knowledge in Cluster and cluster management Experience in developing test strategies, high quality test plans and test execution Proficient in building test setups and fine tuning in HW and SW along with hardware and software components that enable cloud computing services. Ways to stand out from the crowd: Experience with cloud infrastructure is a big plus Apply AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing and day to day assistance Experience with Configuration and deployment management (Ansible), Containers (Docker) and Virtualization infrastructure software (Xen, KVM) Good understanding of C/C++ toolchain in Linux including cross-compilation (C, C++, automake/autoconf, cmake, meson). Background with parallel programming, ideally CUDA C/C++ and OpenACC NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant people on the planet working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 9, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking an experienced Software Manager to lead a team developing the NVLINK switch Operation System (OS) and firmware. In this role you will be playing a critical role in developing our OS and firmware which are critical to NVIDIA's next generation networking technologies, and enable large-scale deployment in High-Performance Computing (HPC) data centers. Are you passionate about working on innovative technologies for next gen HPC? Then we want to hear from you! What you'll be doing: Managing and leading a high impact team of software and firmware developers Serving as the primary technical point of contact for strategic customers, leading major customer integrations with our NVLINK technology Owning development of major features end-to-end Being actively hands-on (50%) in OS software coding and debugging Collaborating with off-shore teams What we need to see: Bachelors degree in Computer Science or similar technical field or equivalent experience 8+ overall years of overall technical experience; 3+ years of experience managing a team Python/C/C++ programming skills Experience leading teams in developing software/firmware, and mentoring Ability to self-teach and to learn quickly Ways to stand out from the crowd: Linux & Networking experience Working face to face with customers Masters degree Excellent social and written communication skills Building AI flows, agents, for enhancing the development efficiency With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward‑thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large‑scale, high‑impact data platforms, we’d love to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 9, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Want to join a team that's revolutionizing the field of AI with data center scale solutions? We are seeking a highly technical Senior AI compute Engineer to serve as a forward-deployed technical liaison between NVIDIA’s Partner Network (NPN), NVIDIA’s internal teams, and enterprise customers. Academic, Enterprise and government groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI Compute systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer-focused team that requires excellent communication skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large-scale AI Compute projects. These efforts include a combination of networking, system design and automation and validation What you will be doing: Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers. Be the domain expert with partners during planning calls through implementation. Handover-related documentation and perform knowledge transfers required to support customers and partners as they begin rolling out some of the most sophisticated systems in the world! Provide feedback to internal and partners teams such as opening bugs, documenting workarounds, and suggesting improvements. What we need to see: 8+ years providing in-depth support and deployment services; solving problems for hardware and software products. Knowledge and experience with Linux system administration, process and package management, task scheduling, kernel management, boot procedures/fixing, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring). Cluster management and provisioning technologies for bare-metal servers (bonus credit for BCM (Base Command Manager)). Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience. Scripting proficiency (Bash, Python, Ansible, etc.). Experience with schedulers such as SLURM, LSF, UGE, etc. Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise. An ability to travel to customer sites within the United States up to 30% of the time. Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience. Ways to Stand out from the crowd: InfiniBand experience. Experience with GPU (Graphics Processing Unit) focused hardware/software. Experience with MPI (Message Passing Interface). Storage technologies such as Lustre or GPFS. Familiarity with OEM GPU platforms Strong channel sales and services knowledge and partner co-selling experience This role embodies the forward-deployed engineer approach: you will spend significant time embedded with customer and partner technical teams. You will move fluidly between field deployments and internal NVIDIA collaboration. Your success is measured by the successful deployment and optimization of AI factories that enable customers and partners to achieve their AI ambitions. You will also provide critical feedback to refine NVIDIA’s reference architectures and partner enablement programs! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 10, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for an Offensive Hardware Security Researcher! NVIDIA is seeking an outstanding Offensive Hardware Security Researcher to work on a wide variety of security research challenges. Do you excel at thinking like an attacker, identifying hardware weaknesses, creating tools and automation for hardware vulnerability research? Join our team to hack the future, fortify the silicon frontier, and shape the destiny of groundbreaking chip technology! What you will be doing:  Research vulnerabilities on cutting-edge SoC and GPU designs  Develop and use cutting-edge security tools and techniques  Guide the continuous integration of latest mitigations into our security architecture Research and exploit side-channel, fault, and advanced physical attacks  What we need to see: BS/BA degree in Computer Science or Computer Engineering or Electrical Engineering or equivalent experience 6+ years of work experience in a Security related field Experience with ARM/RISCV assembly, Verilog and low-level C programming Understanding of large SoC and ASIC architecture and design Experience with security code reviews of complex firmware projects and defensive coding best practices (SDL, threat modeling) Ability to work collaboratively and remotely with multiple experts to accomplish complex goals Expertise in two of more of the following fields: Expertise in side-channel analysis and mitigation for cryptographic primitives TEE (TrustZone, SE), Confidential Computing, and/or microarchitectural attacks Proficiency with Symbolic Execution and/or fuzzing tools JTAG, debugging, binary instrumentation frameworks, ChipWhisperer Reverse-engineering (IDA Pro, Ghidra) Practical experience in utilizing machine learning techniques for performing side-channel attacks Track record of advancing offensive security research field through vulnerability discoveries, research publications, and/or developing security tools  Ways to stand out from the crowd: Understanding of pre-silicon hardware design and testing  Knowledge of key hardware security architecture components, and their implementation in complex SoC designs Strong background in computer architecture, especially GPU or AI accelerator design Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 30, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Join NVIDIA as a Solution Architect on the Infrastructure Specialists team. Help redefine deep learning, data analytics, and power data centers worldwide using NVIDIA products. Collaborate on building the world's largest and fastest AI Factories and supercomputers. We are seeking a candidate who can lead the planning and deployment of large scale AI data centers, focusing on infrastructure buildout including power and cooling systems, telemetry and control systems, and large scale design, construction and delivery processes. In this role, your main focus will be to support customers in the areas of planning, design, construction, and deployment of large scale AI factories. You will be a part of the team building capabilities to design, construct and deliver large AI factories based on NVIDIA's reference designs. This includes architectural systems, power distribution, cooling systems, integration of telemetry and control systems, and all other physical infrastructure. Collaboration with product and engineering teams, customers, and the partner/provider ecosystem will be crucial to achieving successful deployments. What you will be doing: NVIS Data Center deployment planning: Collaborate with product and engineering teams to understand NVIDIA’s reference architectures for data center infrastructure including power distribution, cooling systems, controls and monitoring, and network/cabling architecture. Support customers and partners in quickly implementing this architecture into advanced and reliable data center designs. Building process capabilities: Collaborate across the org to build processes, partner relationships and workflows to deliver and deploy large AI factories at speed of light (SOL). Design and construction oversight: Review and appraise customers' and partners' infrastructure design plans, verifying their compliance with NVIDIA reference architecture, industry standards, and regulatory requirements. Deliver guidance, expertise and suggestions to optimize performance, scalability, and cost-effectiveness. Ensure alignment with our customers and partners on reference architecture, guidelines and processes to make their deployments successful. Assess the operational efficiency, reliability, and readiness of data center infrastructure components before deploying AI/HPC clusters. Develop and implement comprehensive audit plans and conduct pre-deployment audits to identify potential issues, risks, and areas for improvement. Partner and vendor ecosystem: Develop and sustain a strong ecosystem of manufacturers, service providers and partners as needed, to ensure customers can deploy NVIDIA solutions rapidly and reliably as well as be the key liaison for customers and partners on matters of data center infrastructure. Act as the NVIS mentor providing guidance, mentorship, and support to ensure the team's success in their respective roles. Quality Assurance: Implement and make quality assurance processes to ensure that deployments meet established specifications and performance benchmarks. Conduct detailed bring-up, testing, and commissioning to validate the functionality and reliability of infrastructure components. Continuous Improvement: Drive continuous improvement initiatives to improve data center infrastructure reliability, resilience, and sustainability. Find opportunities to streamline processes, automate repetitive tasks, and apply new technologies to optimize infrastructure operations. Collaboration and Communication: Collaborate and communicate across internal teams, external vendors, and customers to facilitate the flawless integration of data center infrastructure solutions. Serve as a domain authority and point of contact for infrastructure-related inquiries and critical issues. What we need to see: Bachelor's degree or equivalent experience in Engineering, or a related field. Advanced degree or equivalent experience or relevant certifications are desirable. We need an expert professional with a background in multiple aspects of infrastructure delivery, preferably of hyperscale data centers. The ideal candidate will have at least 12 years of experience, preferably in sophisticated, high-density AI/HPC data centers. Proven experience in data center engineering, operations, deployment and/or infrastructure management roles, focusing on large-scale data center deployments. Strong technical knowledge and experience in data center systems and processes- power distribution, liquid cooling, rack/server chassis, and cabling. Proven technical and project leadership under fluid situations, and ability to adapt to change. Strong communication at both ground execution as well as executive levels, internally and with customers Excellent analytical, problem-solving, communication and decision-making skills, keen attention to detail, and a dedication to quality. Strong record of excellent partnership and putting the mission's success first. Coordination & Time Management – proficient at planning, scheduling, and coordinating tasks related to the job to accomplish objectives within or ahead of designated time frames. Able to travel (25%). Way to stand out from the crowd: Experience in hyperscale data center deployment, operations process, safety, and security measures. Solid understanding of the whole data center Infrastructure stack. Outstanding social skills. NVIDIA is widely considered one of the world's most desirable employers in technology. We have some of the world's most forward-thinking and passionate people working for us. If you're creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 3, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for an exceptional Software Engineer to join our Networking Verification team. In this role, you will build tests, tools, and automation to validate advanced networking and transport features on NVIDIA Ethernet adapters and DPUs, working closely with software, firmware, and architecture teams to deliver highly reliable, high‑performance solutions for modern data centers. What you’ll be doing: Design, implement, and maintain test and automation infrastructure in C/C++ and Python for validating complex networking and transport functionality. Develop and execute functional, regression, stress, and performance tests for connection‑oriented networking flows, including loss, reordering, failover, and scale scenarios. Work with design, driver, and firmware teams to define verification plans, review specifications, and identify corner cases and negative flows. Investigate failures by analyzing logs, traces, and counters from host, NIC, and DPU to debug cross‑layer issues (application, driver, firmware, hardware, and network). Take end‑to‑end ownership of features: from requirement and test design, through implementation and integration, to sign‑off for product releases. What we need to see: B.Sc. in Computer Science, Computer/Software Engineering, or equivalent. 4+ years of hands‑on software development experience. Strong programming skills in C/C++ and Python, with a focus on writing clean, maintainable, and testable code. Solid understanding of operating systems and low‑level software (threads, synchronization, memory, I/O, performance) and good knowledge of computer networking fundamentals (L2/L3, TCP/UDP, sockets, client‑server architectures). Proven ability to debug complex problems in large, multi‑component systems using logs, traces, and debugging tools. Strong communication skills, ability to work in a collaborative, cross‑functional environment, and a high sense of ownership. Ways to stand out from the crowd: Ability to effectively leverage AI and machine learning (ML) technologies and tools to improve development, debugging, and verification efficiency. Experience with networking or storage drivers and low‑level I/O stacks, including hands‑on work with NICs, DPUs, or other accelerators, and familiarity with hardware/firmware interaction. Background building automation and verification frameworks for complex distributed or performance‑critical systems, including transport‑level reliability and congestion concepts (e.g., retransmission, flow control, congestion handling), and how to test them. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. This is our life’s work — to amplify human imagination and intelligence. NVIDIA Tegra platform is at the forefront of the computing revolution and providing powerful solutions for embedded and automotive markets. Now, we are now looking for a System Software Engineer in Automotive or Embedded field! You will work directly in developing or integrating NVIDIA software technologies into various NVIDIA Tegra platforms, including platform bring up, driver porting and integration, use case development, and problem solving. The candidate might work with the other team to provide deep technical assistance and also assist HW to achieve fully optimized design with NVIDIA products and provide HW feedback as to product features and software improvements. What you’ll be doing: Work directly in developing or integrating NVIDIA automotive or embedded software technology into various NVIDIA automotive or embedded platforms. Create and implement software features. Might work with customers to provide deep technical assistances. Assist customers to achieve fully optimized design with NVIDIA products. Provide partner feedback as to product features and software improvements. What we need to see: BS, MS, PhD in CS, CE, EE, Systems Engineering and 5 years of experience in a related software or hardware engineering position. Good English language skills to work effectively with global teams. Full experience at Linux. Excellent knowledge with OpenGL, OpenGL ES, or Vulkan. Experience working on GPU drive, GPU server with embedded systems and ARM processor specific. Excellent C skills. Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, embedded system, RTOS, etc). Ways to stand out from the crowd: Excellent complex system-level debugging and problem-solving skills. Self-managing and ability to break down complex problems into manageable tasks. Experience working in following areas is a plus: QNX, Android, device drivers, multimedia, OpenCV, CUDA, Deep Learning, or AI. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

NVIDIA is looking for an experienced GPU and network systems Solutions Architect & Engineer. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in customer data centers? As part of the NVIDIA SA organization, you will be driving deployment of our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product roadmap. What you will be doing: Working with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer. Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. Demonstrate subject matter expertise in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-specific requirements to product teams to guide product roadmap features. Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the GPU/Network Systems Engineering, Product management and Sales teams Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issues debug, feature discussions and introduction to new technology solutions Build custom product demonstrations and POCs for solutions that address critical business needs of our customers Analyze and debug compute/network configuration, performance issues to deliver performant clusters What we need to see: BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. This role is for an individual with the motivation and skills to drive the data center engineering process. Ideal candidate has 6+ years of Systems/Solution Engineering (or similar Engineering roles) experience System level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling) Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes Effective time management and capable of balancing multiple tasks Strong verbal/written communication skills and share your ideas/code clearly through documents, presentation etc Ways to stand out from the crowd: External customer facing background Experience with bringup and deployment of large clusters Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers Hands-on experience with NVIDIA GPU systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and/or ARM CPU solutions Familiarity with virtualization technology concepts We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team!NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 17, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

At NVIDIA, we're at the forefront of innovation, redefining the future of computing with our powerful GPU technology. Our GPUs serve as the brains behind computers, robots, and self-driving cars, enabling them to understand and interact with their surroundings. We are seeking a Senior Program Manager to own the operating rhythm between internal teams, OEM/ODM partners, and customer-facing deployment programs. This is a high-visibility, operations-focused role that values process rigor, cross-functional coordination, and leadership transparency over deep technical expertise. What You'll Be Doing: Own the operating rhythm and day-to-day engagement with OEM/ODM ecosystem partners across factory status tracking, hardware deployment achievements, service readiness, and operational execution. Drive cross-functional alignment between internal teams, external partners, operations, supply chain, and deployment collaborators to ensure consistent program visibility. Establish and maintain a consistent operating cadence for program reviews, partner status updates, risk reviews, and executive handling of blocking issues. Track and communicate program readiness across planning, deployment preparation, bring-up execution, validation, and operational handoff achievements. Coordinate post-deployment field data, including bring-up issues, validation results, and operational metrics, with factory and partner workflows. Identify key improvements and promote process updates with ODM/OEM partners. Identify roadblocks, owners, mitigation plans, decision needs, and leadership asks across multiple partner programs. Standardize templates, trackers, dashboards, and review mechanisms for partner programs, deployment services, and leadership updates. Support continuous improvement across partner workflows, deployment execution, and operating processes by bringing to bear data from field operations. What We Need to See: Bachelor's or Master's degree in Business, Operations, Supply Chain, or a related field, or equivalent experience. 8+ years of experience leading cross-functional programs related to operations, supply chain, service delivery, or partner management. Strong collaborator management skills across internal teams, external partners, and leadership audiences. Demonstrated ability to translate ambiguous business or operational needs into structured plans, owners, timelines, and outcomes. Strong executive communication skills, including concise status reporting, risk framing, and managing blocking issues. Proven ability to standardize processes, improve workflows, and build repeatable operating mechanisms. Experience leading programs that require coordination across multiple functions and partner organizations. Strong ownership approach, attention to detail, and ability to drive accountability without direct authority. Ways to Stand Out from the Crowd: Experience collaborating directly with ODM/OEM partners in hardware manufacturing, factory operations, or data center deployment environments. Familiarity with factory production workflows, bring-up and validation processes, and post-deployment operational feedback loops. Background in supply chain operations, partner program management, or infrastructure deployment at scale. Experience building dashboards, trackers, or operational reporting tools that provide leadership access to program health and risks. Knowledge of NVIDIA platforms, AI infrastructure, or GPU-accelerated computing environments. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 17, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for outstanding High Performance AI Engineer to build groundbreaking multi-agent systems for the CUDA ecosystem. We build innovative agentic runtimes and compiler-integrated orchestration that work together with NVIDIA's software stack to provide comprehensive acceleration for modern agent workloads powered by foundational models. As a member of the team, you will develop new agent abstractions, GPU-centric runtimes, and compiler- or runtime-driven system solutions to accelerate agent planning, tool-use, code generation, and other high-impact AI workloads. You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products. What you'll be doing: Design, build and optimize agentic AI systems for the CUDA ecosystem. Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available. Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity. Collaborate across the AI stack—from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving—and with model/agent teams. What we need to see: Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred. 3 years+ industry or academia experience with AI systems development; exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks. Strong C/C++ and Python programming skills; solid software engineering fundamentals. Experience with GPU programming and performance optimization (CUDA or equivalent). Ways To Stand Out From The Crowd: Strong experience in building/evaluating deep learning models, coding agents and developer tooling. Demonstrated ability to optimize and deploy high-performance models, including on resource-constrained platforms. Demonstrated ability in GPU performance optimizations, evidenced by benchmark wins or published results. Publications or open-source leadership in deep learning, multi-agent systems, reinforcement learning, or AI systems; contributions to widely used repos or standards. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 17, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a highly organized Silicon Operations Program Manager to support planning, implementation, and cross-functional coordination, with a focus on achieving flawless silicon operations. The ideal candidate is a proactive, diligent program manager who thrives in complex environments. This role demands someone who can manage operational details, communicate clearly, and bring structure to fast-paced silicon operations programs. They will work across teams, encouraging responsibility, keeping teams aligned across engineering, planning, supply chain, and business operations. This role involves helping operations leadership make informed decisions through clear reporting and focused execution. What You’ll Be Doing: Own day-to-day tactical program management for silicon operations activities, schedules, achievements, and deliverables. Track, coordinate, and communicate action items, risks, dependencies, and NPI supply status across teams. Coordinate planning and implementation across engineering, foundry, supply chain, and OSATs. Support silicon programs, including test HW procurement and allocation, engineering build requests, operational/material planning, capacity tracking, chip supply forecast, and logistics. Bring clarity to ambiguous situations by coordinating inputs, identifying gaps, and driving accountability for NPI chip supply. Develop and maintain trackers, reports, and process documentation. Call out blockers, drive closure on open issues, and ensure decisions are communicated clearly. Continuously improve workflows, communication rhythms, and operational processes. What We Need To See: 8+ years of experience in planning, supply chain, program management, business operations, or a related field. Bachelor’s degree in Business, Engineering, or equivalent experience. Strong organizational skills with the ability to prioritize various tasks, collaborators, and deadlines. Excellent written and verbal communication skills, including experience in preparing daily/weekly leadership-level updates. Proficiency with Excel, PowerPoint, Smartsheet, Tableau, Power BI, SAP, or similar planning/reporting tools. Experience tracking program metrics, risks, actions, dependencies, and results. Strong attention to detail and ability to follow through in a fast-paced, cross-functional environment. Ownership approach with the ability to foster accountability without direct authority. Ways To Stand Out From The Crowd: Experience in semiconductor, silicon, hardware, manufacturing, or technology operations. Background supporting NPI, supply readiness, capacity planning, and silicon lifecycle. PMP, Agile, Lean Six Sigma, or similar project/program management certification. Experience working with global teams and managing complex collaborator environments. Proven track record improving operational processes, reporting systems, or cross-functional workflows and strong analytical skills with the ability to transform data into clear insights, decisions, and action plans. Does this excite you? If so, you might be the one we're looking for! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 4, and 176,000 USD - 276,000 USD for Level 5.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 17, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

In the role of Senior Technical Program Manager with a strong focus on operational rigor and cross-functional collaboration, you will lead the DGX Cloud Fleet Configuration initiative. You will ensure our GPU fleet runs on certified, updated software and firmware across a varied and fast-expanding infrastructure. This role links Engineering, SRE, Capacity Operations, and Cloud Providers. You will manage the program functions that keep version tracking for software and firmware accurate, patching routines timely, and leadership informed. Acting as the TPM counterpart to engineering leads, you will foster accountability, close reporting gaps, and uphold the single source of truth that enables rapid progress without compliance risks. Join us to make a meaningful impact on the world’s leading AI infrastructure! What You'll Be Doing: Own and lead the fleet configuration compliance program from start to finish. Establish owner accountability across organizations. Track patching achievements and deliver measurable improvements in fleet currency. Build and maintain the source-of-truth tracking system for SW/FW versions across all fleet segments, cloud providers, and hardware platforms. Identify and close dashboard and reporting gaps — partnering with Engineering and EngOps to ensure version state, patch status, and drift are visible in real time. Run the program mechanics: owner collection, recurring leader follow-ups, addressing critical issues that could delay progress, and EngOps status reporting. Anticipate configuration drift risks with new hardware bring-ups and cloud provider expansions, working closely with Infrastructure teams to get ahead of gaps. Communicate fleet configuration status and risk clearly to senior leadership, turning complex multi-system state into crisp, decision-ready narratives. What We Need to See: 8+ years of Technical Program Management experience, with at least 3 years in infrastructure, platform, or systems-focused domains. Proven ability to run complex cross-org programs — defining ownership structures, driving accountability across distributed teams, and maintaining momentum without direct authority. Experience building or managing configuration tracking, patch management, or compliance reporting programs at scale. Strong data and tooling instincts — able to identify dashboard gaps, define the right metrics, and work with engineering to close them. Demonstrated ability to maintain a source of truth across a fast paced, multi-stakeholder environment. Excellent executive communication skills — able to translate fleet state and risk into clear, actionable narratives for senior leadership. MS in EE, CS, or equivalent experience. Ways to Stand Out from the crowd: Familiarity with NVIDIA GPU architectures and DGX/HGX infrastructure. Experience with SW/FW patch management or configuration compliance in large-scale cloud or HPC environments. Hands-on experience with Grafana, Superset, or similar observability/BI tooling. Background in cloud-native infrastructure, Kubernetes, or large-scale distributed systems. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 17, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join NVIDIA’s outstanding team as a Material Handler in Santa Clara, CA! At NVIDIA, we are known for our world-class innovation in computer graphics, PC gaming, and accelerated computing. This role offers an outstanding opportunity to be part of our dynamic team that thrives on ambition and collaboration. Here, your contributions will help build the future of AI and computing technology. What you'll be doing: Receive, inspect, and store engineering chips. Handle sensitive devices according to ESD (Electrostatic Discharge) procedures and industry standards. Maintain accurate inventory records using SAP systems. Perform material movement between stockroom, ATE/SLT testing, and shipping areas. Support engineering and planner teams with material requests. Conduct cycle counts, inventory audits, and stock reconciliation. Monitor environmental controls and storage conditions for sensitive components. Ensure compliance with safety, quality, and ISO standards. What we need to see: High school, GED, or associate degree, or equivalent experience. 5 years of warehouse, inventory, inventory control experience. In depth knowledge of SAP global transactions. Knowledge of ESD-safe handling procedures and ESD-protected workstations. Familiarity with inventory control systems and Microsoft Office. Strong attention to detail and organization skills. Ability to lift up to 50 lbs. (23 kg) and perform duties in a storage environment. Ways to stand out from the crowd: Experience working with Automated Test Equipment (ATE) such as 93K tester and data parsing. Demonstrated ability to work in a fast-paced, team-oriented environment. Knowledge of semiconductor device identification, lot tracking, and traceability requirements. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 44,000 USD - 75,900 USD for Level 3, and 52,000 USD - 87,975 USD for Level 4.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 17, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA networking designs and manufactures high-performance networking equipment that enable the most powerful super computers in the largest data centers in the world. With a distributed collection of NVIDIA GPUs inter-connected by networking solutions such as InfiniBand, Ethernet, or RoCE (RDMA over Converged Ethernet) we make powerful ML/AI platforms possible. We believe in our people and our products. We are seeking motivated, personable, and independent individuals to join our team! We seek experienced software networking engineers to help support our groundbreaking, innovative technologies that make AI workloads in large clusters even more performant. As a networking Solutions Architect at NVIDIA you will have agency and palpable effects on the business, and work closely with customers and R&D teams. What you’ll be doing: Support networking technologies such as Spectrum-X and work with customers on their technical challenges and requirements using said technologies during pre-sales activitiesDevelop proof-of-concept materials for innovative technologies for use by early adoptersGain customers’ trust and understand their needs to help design and deploy cutting-edge NVIDIA networking platforms to run AI and HPC workloadsAddress sophisticated and highly-visible customer issuesWork closely with R&D teams to develop new features for customersHelp with product requirements along side engineering and product marketingWhat we need to see: 6+ years of experience with computer software, knowledge of Linux kernel, Ethernet and IP protocolsB.Sc, Masters, or Ph.D. in Computer Science, Electrical Engineering, or related technical field (or equivalent experience)Extensive knowledge in, and experience with debugging issues involving Ethernet Switches/Routers and network protocols in the L2 to L4 layersStrong analytical and problem-solving skills, with attention to detailsAbility to work collaboratively and be willing to work directly with customersWays to stand out from the crowd: Coding development experience with multiple programming languages (from low-level C programming language to high-level languages such as perl, python, and shell scripts)Knowledge in Cloud infrastructure and AI workflowsLinux Environment and Linux NetworkingFamiliarity with (NVIDIA) Ethernet/Infiniband switches, RoCE, and RDMA conceptsNVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. The high-speed networking solutions enable GPUs for large scale deployments. Our work opens new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous vehicles. NVIDIA is looking for excellent people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and self-motivated, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 17, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA’s Global Account Manager position provides a remarkable opportunity to drive AI adoption globally. This role is both strategic and cross-functional. It is essential in accelerating the integration of NVIDIA’s innovative technology with Dell Technologies' wide-ranging services. You will be a strategic partner and main contact between NVIDIA and Dell Services staff and leadership. Your role includes enabling, aligning, and backing joint efforts that are reshaping enterprise AI through consulting, deployment, and support services.  NVIDIA and Dell jointly foster innovation and expansion in enterprise AI! This job is key to growing enterprise AI adoption by combining NVIDIA’s technological expertise with Dell’s worldwide services reach. Enterprise customers often do not have the necessary internal knowledge to implement and take advantage of today’s AI solutions. As a result, they rely on trusted services partners to achieve significant business value from AI investments. NVIDIA strategically broadens this expertise in the market through our primary partners. Achieving success in this role directly supports unlocking new customer value via coordinated, services-focused AI solutions. We focus on transferring knowledge, improving field readiness, and preparing Dell Services teams to optimally position, sell, deliver, and support NVIDIA-powered AI solutions from Dell Technologies. This GAM is vital for the success of this relationship.  What you'll be doing: Serve as the main NVIDIA liaison for Dell Technologies Services worldwide, and recognize, coordinate, and advance shared priorities with Dell’s CIO and SVP-level leadership. Lead knowledge-sharing initiatives to inform Dell Services teams about NVIDIA AI solutions and our value propositions. Facilitate seamless communication and teamwork to craft, align, and refine joint service offerings, methodologies, and packaged solutions. Partner with Dell Services sales and consulting teams to identify and develop service opportunities powered by sophisticated technology. Support joint account planning and pipeline development to accelerate AI adoption. Assist in strategic deals by providing mentorship on solution positioning and customer value. Work closely with delivery and support teams to ensure successful implementation and customer happiness. Collect field feedback to inform NVIDIA's product, partner, and services strategy. Track key performance metrics related to service engagement and revenue impact. What We Need to See: 12+ years of proven experience in business development, alliances, or services sales within enterprise technology. Strong understanding of enterprise AI/ML, data center infrastructure, and cloud ecosystems. Familiarity with services organizations, including consulting, deployment, managed services, and support models. Demonstrated ability to influence cross-functional teams without direct authority. Experience working with or within large global system integrators or OEM partners, with Dell experience strongly preferred. Excellent communication, presentation, and partner leadership skills. Ability to translate complex technical concepts into business value. A self-starter with a collaborative approach and strong execution focus. Increased Dell Services pipeline and revenue tied to NVIDIA-powered solutions. Improved hands-on readiness and enabled greater autonomy within Dell Services teams. Growth in customer adoption of joint services offerings. Measurable impact on deal acceleration and win rates. Bachelor’s degree or equivalent experience. A Master’s degree and/or MBA or equivalent experience is desirable. Ways to stand out from the crowd: Experience with NVIDIA AI platforms, GPUs, or accelerated computing solutions. Background in enterprise services transformation or AI adoption initiatives. Familiarity with joint go-to-market models and partner enablement frameworks. Passion for offering aid and mentorship to internal and external parties, a strong curiosity about business strategy, and excellent collaboration skills. Confirmed ability to work in a fast-paced environment, leading multiple high-priority projects, where strong social skills are crucial. NVIDIA is widely considered one of the world’s most desirable employers. We attract some of the most forward-thinking and committed people in technology. If you’re creative, driven, and ready to help shape the AI revolution, we want to hear from you! Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 17, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA wants an outstanding Software Linux Engineer to strengthen our installation, packaging, and software delivery features for NVIDIA's networking software. In this role, you will craft, develop, and maintain user-space tools, packaging systems, software repositories, and installation flows across leading Linux distributions. These include traditional package ecosystems and modern declarative systems like NixOS (Nix package manager). This position allows you to make a tangible difference in a dynamic, technology-focused organization. Your contributions will support product lines powering the world’s most advanced data centers, cloud environments, and HPC systems. Are you driven by Linux, system-level integration, and crafting seamless installation experiences? Do you want to play a role in promoting the deployment of high-speed networking solutions throughout multiple Linux systems, including developing declarative and reproducible package management methods? Are you enthusiastic about working on next-generation packaging technologies, automation, and AI-supported engineering solutions while enabling customers and internal teams to speed adoption? What you'll be doing: Build, implement, and maintain installation, packaging, and software delivery workflows for NVIDIA networking software across major Linux distributions (Debian, Ubuntu, RHEL, SLES, NixOS, etc.). Develop and provide ongoing support for meta-packages, software repositories, release channels, profiles, and tools. These resources help streamline user-space installation and configuration on traditional and declarative package managers like DEB/RPM and Nix. Build and implement automation solutions to improve package validation, release quality, and engineering efficiency, including the adoption of AI-assisted development workflows. Work with distribution maintainers and ecosystem communities (including Nix/NixOS) to ensure compatibility and smooth delivery through native packaging systems. Perform system-level testing and verification of package installations on various platforms and OS versions. Collaborate with cross-functional teams (kernel, QA, release engineering, architecture, and support) to ensure installation quality, maintainability, and scalable software delivery. Contribute to Linux kernel driver development and backporting to support advanced networking features. What we need to see: Bachelor’s degree in Computer Science, Computer/Software Engineering, or a related area (or equivalent experience). 4+ years of software development experience, with a strong focus on Linux system-level development. Skilled in Linux package management tools (dpkg, RPM, yum, apt, zypper, Nix) along with scripting languages like Python or Bash. Experience with packaging standards, repository management, release automation, and CI/CD workflows. Familiarity with kernel backporting, patch management, and driver installation (a plus). Excellent communication and collaboration skills with a customer-focused approach. Strong debugging and troubleshooting skills across diverse Linux environments. Ways to stand out from the crowd: MS in Computer Science, Electrical Engineering, or a related field, or equivalent professional experience with deep knowledge of Linux operating systems and distribution lifecycle management. Experience crafting package repositories or software distribution infrastructure as well as working with the NixOS ecosystem and Nix package manager in live production settings. Experience applying AI tools to software development, testing, or automation workflows. Familiarity with cloud or containerized environments (e.g., Docker, Kubernetes). Experience supporting large-scale deployment environments in data center or HPC settings. NVIDIA is widely regarded as one of the most sought-after employers in the tech industry. We employ many dedicated and innovative individuals worldwide. If you are passionate about Linux systems, enjoy solving real-world problems, and want to help develop the future of AI and networking infrastructure, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 17, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a DFT Methodology Engineer!   NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today. Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips.   What you'll be doing: As a member in our team, you will own and work with cross functional teams, implementing state-of-the-art designs in test access mechanisms, I1149.1, I1500, I1687, 1838, memory BIST, scan and memory dump and DFX security methodology. In addition, you will help architect, develop and deploy DFT methodologies for our next generation products including RTL design, Verification, pattern generation, partnering with teams like timing, physical design, software, bringup, production You will also help mentor junior engineers on test designs and trade-offs including cost and quality.   What we need to see: Master’s degree (or equivalent experience) in Electrical Engineering or related field with proven experience in DFT or related domains. 10+ years of hands-on experience in SoC architecture, RTL design, and verification. Excellent analytical skills in verification and validation of test patterns and logic on complex and multi-million gate designs using vendor tools Good exposure to cross functional areas including RTL & clocks design, STA, place-n-route and power, to ensure we are making the right trade-offs Experience in Silicon debug and bring-up on the ATE with an understanding of pattern formats, failure processing, and test program development Knowledge of DFT security and hardware system security is a plus. Exceptional written and oral interpersonal skills with the curiosity to work on rare challenges   NVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA offers highly competitive salaries and a comprehensive benefits package. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 17, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

At NVIDIA, our Senior DFT Engineers lead the way in silicon test innovation, ensuring flawless execution and outstanding quality in our next-generation silicon platforms. This is an outstanding opportunity to join a world-class team and make a significant impact in the semiconductor industry! What You'll Be Doing: Design and roll out advanced test methodologies on NVIDIA’s next-generation silicon platforms. Own and work with cross-functional teams to implement the latest in test access mechanisms, IO BIST, memory BIST, and scan compression. Collaborate closely with VLSI and Product Engineering groups to design innovative DFT approaches that advance silicon test technology. Lead end-to-end planning and timely execution of NVIDIA's new chip bring-up efforts, from pre-silicon through production deployment. Develop and standardize methodologies, processes, and workflows for silicon bring-up, crafting reusable checklists and playbooks. Improve cross-team communication, work, and handoffs. Guide and mentor junior engineers, helping them navigate complex build trade-offs to achieve world-class quality and efficiency. What We Need To See: BSEE (or equivalent experience) with 5+ years, MSEE with 3+ years, or PhD in DFT or related domains. Demonstrated knowledge and expertise in defining scan test plans, BIST including memories and IOs, fault modeling, ATPG, and fault simulation. Excellent analytical skills in verification and validation of test patterns and logic on complex and multi-million gate builds using vendor tools. Experience in silicon debug and bring-up with an understanding of pattern formats, failure processing, and test program development. Strong programming and scripting skills. Excellent written and oral communication skills with the curiosity to work on rare challenges. Ways To Stand Out From The Crowd: Deep understanding of DFT architecture. Direct bring-up experience on GPU/SoC. Hands-on validation skills with oscilloscopes, logic analyzers, and lab debugging. Understanding of fault models, DPPM, quality metrics, RAS is a plus. Knowledge of InSystem Test methodologies, PVT dependencies and VF characterization. Established proficiency in operating within collaborative, multi-functional environments. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 17, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. Design-for-X Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions in AI for Chip Design and AI for Predictions in various use cases in manufacturing testing on some of the industry's most complex semiconductor chips. What you'll be doing: As a senior member in our team, you will work on innovating in the DFT Power, Thermal & Voltage Noise Methodology areas. This will include working on groundbreaking low power & thermal solutions for our manufacturing tests to be enabled at conditions that push the boundaries for our datacenter GPUs. Partner with multi-functional teams including Product Development & Power Architecture, implementing brand-new methodologies on hard-to-solve problems for improving our outgoing quality of chips. You will work on post-silicon data analysis for power to architect the next-gen solutions. In addition, you will help develop and deploy DFT methodologies for our next generation products using Applied ML & Gen AI solutions. Help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: BSEE (or equivalent experience) with 12+, MSEE with 10+, or PhD with 6+ years of experience in DFT design & power Understanding of fundamental DFT topics and VLSI areas of power, timing & voltage noise Experience in Power Analysis, Thermal Analysis & IR Drop tools is a plus. Experience in application of AI for EDA-related problem-solving is a plus. Excellent knowledge in using statistical tools for data analysis & insights. Good exposure to multi-functional areas including RTL & clocks design, STA, place-n-route and power. Experience in Silicon debug and bring-up on the ATE or SLT platforms. Be able to think like a programmer so that this can be translated into action using AI Coding harnesses  Ways to stand out from the crowd: Outstanding written and oral communication skills with the curiosity to work on rare challenges. Experience in managing DFT Power Methodology for designs  Experience in post-silicon debug for thermal & IR Drop Good understanding of technology and passionate about what you do Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 17, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. NVIDIA is seeking top-tier AI Compiler Engineers to drive innovation within our world-class compiler organization. In this role, you will push the boundaries of what is possible in AI performance and help build the technology that powers the next generation of computing. Join us and make a tangible impact on a global scale. What you’ll be doing: Drive technical innovation: Participating in hands-on development focusing on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs. Advance the state-of-the-art: Solve complex compilation problems for AI workloads (both inference and training) and successfully transition these breakthroughs into enterprise and consumer products. Collaborate on hardware/software co-design: Partner with leading experts across our software, hardware, and research divisions to architect and co-design future silicon. Scale AI to the datacenter: Participating in the advancement and optimization of datacenter-scale AI workload deployments. What we need to see: BS or MS in Computer Science, Computer Engineering, or a related field (or equivalent experience). A PhD is strongly preferred. Experience specializing in compiler optimizations, synthesis, and placement. MLIR Knowledge: Demonstrated, hands-on experience working with MLIR. Programming Excellence: Exceptional C/C++ and Python programming and software design skills, including rigorous debugging, performance analysis, and test design. Team Dynamics: Strong communication and interpersonal skills, with the ability to collaborate effectively in a dynamic, fast-paced, and product-oriented environment. Ways to stand out from the crowd: Hardware Implementation: Hands-on experience implementing complex AI workloads on CPU, GPU, and/or custom AI accelerator architectures. LLM Knowledge: Deep understanding of Large Language Model (LLM) inference and its profound implications on computer architecture. Architecture & Design: Demonstrated understanding in the designing and architecting of comprehensive compiler frameworks from the ground up. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2.You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 17, 2026.This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.