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.