Nvidia

NVIDIA is a pioneering company that revolutionized the computing world with its GPU technology, driving the growth of the PC gaming market and redefining modern computer graphics. In recent times, GPU deep learning has propelled AI into the next era of computing, with GPUs serving as the brains behind AI-powered applications across a wide range of industries, including high performance computing, robotics, autonomous vehicles, and more. Today, NVIDIA is renowned as the "AI computing company." We are currently seeking a highly motivated Senior Systems Software Engineer to join our dynamic DirectML driver team. If you are enthusiastic about working across all layers of the software stack, encompassing deep learning frameworks, drivers and GPU architecture, and if the prospect of implementing novel features and achieving peak performance excites you, we eagerly await hearing from you!. This role allows you to directly influence the hardware and software roadmap of a fast-expanding AI technology company, making a significant impact on the experience of gamers and other PC users as they relish the latest AI innovations. What you’ll be doing: Collaborate with cross-functional teams to understand requirements and contribute to the design and architecture of NVIDIA DirectML drivers. Develop and implement high-quality, efficient, and reliable NVIDIA DirectML drivers following the best software development practices adhering to industry standards. Identify and resolve performance bottlenecks for cutting-edge deep learning models in computer vision, generative AI, and other related fields. Debug and resolve driver-related issues to ensure smooth functionality across multiple GPU architectures and platforms. Collaborate with Microsoft to drive the advancements in ONNX and DML runtimes and ensure seamless integration with NVIDIA DirectML driver. Build and contribute to performance profiling tools that improves the efficiency of the performance analysis workflow. Ensure the effective deployment of essential directed tests and models through collaboration with the automation team, thereby ensuring the robustness of automated testing. What we need to see: Bachelor's, Master's, or PhD in Electrical Engineering, Computer Science/Engineering, Mathematics, Physics, or a related field (or equivalent experience). 5+ years of industry experience with proficiency in developing and optimizing DirectML drivers or similar graphics and machine learning drivers such as DirectX, Vulkan, or CUDA. Familiarity with GPU hardware architecture, shader programming, and parallel processing techniques. Excellent C++ programming and debugging skills with a strong understanding of data structures and algorithms. Familiarity with deep learning frameworks such as PyTorch and TensorFlow and exposure to large language models and transformer architectures. Strong analytical and problem-solving abilities, with the capacity to multitask effectively in a multifaceted environment. Outstanding written and oral communication skills, enabling effective collaboration with management and engineering teams. If you are ready to make a significant impact in the world of AI and GPU technology, join us at NVIDIA, where you will have the opportunity to craft the future of computing while working with a passionate and talented 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 on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on the Mellanox Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software. The Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing development related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products. What you'll be doing: Triage customer issues involving DGX clusters, network adapters and DPUs, including both InfiniBand and Ethernet technologies. Take ownership and drive critical customer issues to resolution Collaborate with engineering to document, recreate and solve issues. Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including InfiniBand, Ethernet, and GPU server technologies. Bring independent analysis, communication, and problem-solving to customer experience. What we need to see: B.Sc. in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience). 7+ years system software development and troubleshooting experience, ideally with some customer facing. Experience developing with C/C++ in Linux userspace and/or embedded software. Very good familiarity with Linux OS (tools, utilities, kernel functionality). Very good familiarity with networking protocols (ETH, IP based, L2/3/4 protocols). Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented. Professional-level communication skills, interpersonal skills with a passion to solve problems. Ways to stand out from the crowd: InfiniBand, OFED, MOFED, RDMA, ROCE and GPU Technology Clustering or HPC Data-Center technologies including Upper Layer Protocols (i.e., NCCL, MPI/UCX) Server related areas such as Virtualization, HW offloads, Network Acceleration libs, Storage, Performance, etc. Expertise with shell scripting (Python/Bash) With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be 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 and, due to unprecedented growth, our world-class engineering teams are expanding fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.

NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is seeking senior engineers who are mindful of performance analysis and optimization to help us squeeze every last clock cycle out of all facets of Deep Learning such as training and inferencing, one of today's most important workloads in the world. If you are unafraid to work across all layers of the hardware/software stack from GPU architecture to Deep Learning Framework to achieve peak performance, we want to hear from you! This role offers an opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution while helping deep learning users around the globe enjoy ever-higher training speeds. What you'll be doing: Understand, analyze, profile, and optimize deep learning workloads on state-of-the-art hardware and software platforms. Build tools to automate workload analysis, workload optimization, and other critical workflows. Collaborate with cross-functional teams to analyze and optimize cloud application performance on diverse GPU architectures. Identify bottlenecks and inefficiencies in application code and propose optimizations to enhance GPU utilization. Drive end-to-end platform optimization from a hardware level to the application and service levels Design and implement performance benchmarks and testing methodologies to evaluate application performance. Provide guidance and recommendations on optimizing cloud-native applications for speed, scalability, and resource efficiency. Share knowledge and best practices with domain expert teams as they transition applications to distributed environments. What we need to see: Masters in CS, EE or CSEE or equivalent experience 8+ years of experience in application performance engineering Experience using large scale multi node GPU infrastructure on premise or in CSPs Background in deep learning model architectures and experience with Pytorch and large scale distributed training Experience with application profiling tools such as NVIDIA NSight, Intel VTune etc. Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture. Experience with NVIDIA's Infrastructure and software stacks. Proven experience analyzing, modeling and tuning DL application performance. Proficiency in Python and C/C++ for analyzing and optimizing application code Ways to stand out from the crowd: Strong fundamentals in algorithms and GPU programming experience (CUDA or OpenCL) Understanding of NVIDIA's server and software ecosystem Hands-on experience in performance optimization and benchmarking on large-scale distributed systems Hands-on experience with NVIDIA GPUs, HPC storage, networking, and cloud computing. In-depth understanding storage systems, Linux file systems, RDMA networking 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. The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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 an outstanding Senior PKI Engineer to join our Enterprise Security Team. The ideal candidate will excel at building and presenting strategies that enable us stay at the groundbreaking front of our industry. You will be required to provide guidance on how to operate, automate, and maintain our PKI, Identity and Directory platforms as well as be a motivator to accelerate our evolving capabilities for a Zero Trust future. You responsibilities will include partnering with all IT, Cybersecurity, and business technologists to develop relationships, and ensure we are clear and aligned on our PKI strategy and roadmap. Do you want the opportunity to build an extraordinary user experience that delivers on both securing our company and enabling our company to move at the speed of light? What you'll be doing: As a Senior PKI Engineer, you will play a critical role in designing, implementing, and maintaining our Public Key Infrastructure (PKI) systems by: Develop our overall PKI & Crypto strategy, for both internal and external facing needs. Design and implement solutions for various use cases, based on our business needs. Stream line & drive global adoption of our PKI services. Work towards continues improvement in design and operations in our PKI environment with focus on security, simplicity and stability. Provide guidance and technical solution for infrastructure improvements, upgrades, issues and third party integrations inside the team and out. What we need to see: Extensive & proven experience in managing, designing and developing PKI solutions (8+ years). 8+ years of hands-on experience with Active Directory, 6+ years with Azure AD. A strong security mentality with ability to quickly learn and adapt to new technologies. BS or MS in Computer science or related field, or equivalent experience. Excellent communications skills with hands on experience collaborating with global teams. Change Management and relationship management experience with executive level stakeholders. 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 on the planet working for us. If you are creative and autonomous, we want to hear from you! The base salary range is 160,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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’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 deep learning — 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.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. What you’ll be doing: Designing, implementing, and delivering innovations for managing GPU based AI servers with focus on UEFI development, Arm boot firmware development, UEFI development, server architecture, partner support, and building systems for enterprise. Collaborating with a global team of SBIOS developers on NVIDIA server designs. Working with NVIDIA partners to support server implementations. Partnering with Independent Bios Vendors (IBVs) to integrate NVIDIA firmware. Working closely with BMC, FPGA, etc. teams to ensure SBIOS features are designed with full product goals in mind. Partner with security team to ensure developed code is in line with product security goals. Working closely with hardware teams to influence hardware design and review HW architecture & schematics. Collaborate with QA/Test architects to produce proper test tools and automation for qualifying the whole system software and firmware stack. What we need to see: Bachelor’s Degree or higher in Electrical Engineering or Computer Science (or equivalent experience), and 7+ yrs of proven experience, with demonstrated strong ability as individual contributor. Experience in Arm boot firmware or UEFI development. Solid experience of end-to-end delivery of high-end enterprise servers from definition to customer deployment. Solid experience with system architecture and design. Solid understanding of low-level interfaces between SBIOS, BMC and OS like I2C/SPI/PCIe/JTAG etc. PCIe enumeration, IO at platform level for enterprise systems. Experience working closely with HW teams, ODMs and vendors to introduce and support server platforms. Background with C/C++ development, bash/python for scripting, and debugging skills in embedded Linux operating environments. You should possess excellent written and oral communication skills, good work ethics, high sense of teamwork, love to produce quality work and commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to exciting problems. Ways to stand out from the crowd: Background in SBIOS firmware development on Arm based platforms. Expertise in Arm server architecture. Experience in supporting Windows on Arm platforms. Experience working with IBVs or supporting reference code. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you! The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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 Cloud Functions team is looking for a motivated, product-minded Senior Distributed Systems Software Engineer with an observability focus. Our team builds and operates a serverless deployment platform for enabling AI applications. Our product enables and scales AI inferencing workloads using globally distributed orchestration of workloads on GPU-backed cloud-agnostic Kubernetes clusters. You will be working with a team of passionate and skilled engineers that are continuously innovating at the speed of light to provide the best product possible, for both external customers and other NVIDIA teams. We are looking for someone to join us at the forefront of defining cloud engineering and observability paradigms for AI at scale. What You'll be Doing: Design highly available and scalable systems to meet our observability and performance requirements. Lead engineering projects that directly impact NVCF customer experience and platform reliability. Collaborate with and influence other specialists within and across engineering groups while handling key responsibilities, to create the best platform possible. Evaluate new and innovative technologies and tooling as the AI-at-scale landscape evolves to ensure we have the highest level of operational and engineering excellence. Mentor and enable other engineering teams building products on top of our platform on the best paradigms for monitoring, performance and reliability. What We Need to See: 6+ years of validated experience in the design, implementation, and delivery of large engineering projects. A flexible technologist familiar with all aspects of the software development lifecycle. Excellent communication and collaboration skills. Able to ask the right questions, see and align to the big picture rapidly. Ability to prioritize and drive customer and engineering QoL improvements. Able to articulate customer impact in every feature you deliver! Skilled with at least two of the following programming languages and strong in at least one of them: Golang, Java, Python, Scala, Rust. Understands scalability and performance challenges associated with cloud services. Able to craft horizontally-scalable, resilient and performing-under-load systems. BS in Computer Science or equivalent experience. Ways to stand out from the crowd: Prior experience with building and monitoring solutions deployed on Kubernetes. Background with Open-Source observability tooling such as OpenTelemetry, Prometheus, Elastic and Grafana Past experience as an engineering team lead. Past experience as an SRE or equivalent. NVIDIA offers highly competitive salaries and a comprehensive benefits package. NVIDIA is widely considered to be 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. Are you a creative engineer with a drive for advancing the state of AI and bringing it to the cloud? If you love to tackle problems and advocate for continuous, innovative improvement, we want to hear from you! The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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's products, hardware and software, are world leaders for performance and efficiency. We are continually innovating in creative ways to improve our ability to deliver outstanding solutions across a wide range of sectors. We are seeking System Software Engineers who are passionate about what they do and are committed to making a difference in the world through their inventions. In the Software Developer Tools Team, we enable 1st & 3rd-party developers to turn NVIDIA's hardware into groundbreaking cluster, server, professional, consumer, automotive, and embedded solutions. What you will be doing: Your day to day work will be coding, primarily in C/C++ with some Python. You'll work with customers and engineers across teams to explore problems, find solutions, write functional requirements docs and designs, drive execution, and deliver multi-functional software solutions. Enable modern data science computational frameworks on the industry's premiere multi-discipline GPU+CPU+networking profiling tool. You will have the opportunity to work with people across academia and industries improving applications and optimizing computing resource utilization. Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable sophisticated, modern computer systems doing ongoing work in High Performance Computing(HPC), Machine Learning, Deep Learning, Artificial Intelligence, Autonomous Machines, pro-visualization, and even entertainment. Our tools are used to optimize systems that span the gamut from embedded systems to the largest of supercomputers. Work directly with HW/SW applications engineers and operations, in a multifaceted, dynamic, high-energy work environment to bring industry-defining products to market. What we need to see: BS or MS in EE, CE, CS, or Systems Engineering (or equivalent experience). 2+ years real life professional experience in distributed computing is required. Should have experience with JAX, PyTorch, or other deep learning or machine learning frameworks Excellent problem solving, collaborative, and interpersonal skills. Experience working with international teams preferred. Strong C/C++ knowledge required. Familiarity with computer algorithms, object oriented programming, data structures, and design patterns. Ability to divide sophisticated problems into simple sub problems and then reuse available solutions to implement the solutions. Ways to stand out from the crowd: Experience with data transformation libraries, such as NumPy and Pandas. Strong background in machine learning and data science concepts. Strong Python programming skills. Experience creating monitoring, profiling, or optimization software tools for developers working on large scale systems. Proven track record of crafting engineering designs, driving them to consensus within teams, and bringing them to fruition. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our diverse team of talented, capable, and professional people is our greatest asset! If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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 continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can tackle, 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. Join our dynamic team at NVIDIA, responsible for managing and maintaining high-quality VLSI development infrastructure for the Backend Networking team. We seek a dedicated and driven Software Engineer eager to manage compute and storage effectively, develop scripts and automation, create dashboards and apps while collaborating with a remote team in Israel. What you’ll be doing: Oversee and optimize compute and storage resources, ensuring operational efficiency and success of VLSI projects. Develop and maintain scripts and automation tools to streamline infrastructure tasks. Design, implement, and maintain dashboards for monitoring and reporting on infrastructure performance and usage. Work closely with a remote team in Israel, ensuring smooth communication and coordination on infrastructure-related tasks. Engage in the entire lifecycle of infrastructure tool development, including design, testing, deployment, and maintenance. Collaborate with other team members and DA teams to implement innovative software solutions and practices. What we need to see: Bachelor’s degree in computer science/engineering or equivalent experience Minimum 3 years' experience with CAD development Strong proficiency with Unix Proven experience in at least two programming languages, including Python, and scripting. Good debugging and problem-solving skills Strong interpersonal skills along with the ability to work in a diverse team Ways to stand out from the crowd: Basic understanding of data structures and algorithms, specifically those related to Graph Theory. Experience with SQL and LSB scheduler. Experience with GUI and Unix/web application development. Familiarity with programming languages such as C++, Tcl, Python, or other scripting languages like Perl and Shell. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and dedicated people in the world working for us. Are you creative and autonomous? Do you love the challenge of constant innovation and creating the highest performance products in the industry? If so, we want to hear from you. The base salary range is 108,000 USD - 201,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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 widely considered to be one of the technology world’s most desirable employers with some of the most innovative engineers and technologists. We are seeking system engineers to lead efforts developing the next generation of safe, AI-powered autonomous driving systems. In this role, you will focus on applying V-Model methodologies to cross-disciplinary development across AI, computer vision, software architecture, planning and control, software / hardware interactions. You will be part of a team that covers the entire autonomous driving system and coordinates development teams across NVIDIA. What you’ll be doing: Lead the requirements engineering process and collaborate with teams from different departments to determine project scope and objectives. Develop and maintain a comprehensive set of requirements for our AI based autonomous vehicle systems. Ensure that all requirements are documented, organized, and tracked throughout the project lifecycle. Work closely with engineering teams to ensure successful implementation of requirements. Regularly review and audit processes to ensure compliance with industry standards and recommended approaches. Proactively identify and address any issues or risks related to requirements management. Continuously improve the requirements engineering process and drive efficiencies. What we need to see: Bachelor’s degree in engineering or a related field, or equivalent experience. 8+ years proven experience in requirements engineering and management for safety related systems. Strong knowledge of systems engineering principles and methodologies. Strong communication and collaboration skills to effectively work with diverse teams. Exceptional attention to detail and ability to identify and resolve ambiguities. INCOSE certification and experience with Model-Based Systems Engineering (MBSE) are a plus. Experience with Jama Connect RMS, Cameo/Magic Draw, Reliability Work Bench (RWB), Git, Python and tool integration. With competitive salaries and generous benefits packages, 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 unparalleled growth, our best-in-class teams are rapidly growing. If you're creative and passionate about safety and autonomous driving, we want to hear from you. The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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 searching for a highly motivated senior software engineer for the team that is building a next generation Network management and Telemetry system in cloud using modern design principles at internet scale. The person will be will be responsible for building distributed cloud applications. It will be a highly scalable, modern network operations toolset that provides visibility, troubleshooting, validation and telemetry for Ethernet and InfiniBand networks. What you'll be doing: Development of distributed cloud applications, micro services and SAAS platform with high throughput and reliability. Contribute to applications like data ingestion, distributed computing, near real time analytic engines, RESTful APIs and user interfaces. Drive requirement discussions, design and product improvements. Drive improvements in areas like performance, team productivity, automation, quality, monitoring and reliability of applications. Working closely with the system architects, UI/UX and test engineers What we need to see: Bachelors/Masters Degree in Computer Science/Engineering 5+ years of experience in complex microservices based architectures. Extensive programming experience in Scala, Go, Python Fluent in coding and rapid prototyping. Strong experience in developing, maintaining, and testing of scalable distributed applications. Experience with stream processing frameworks, such as Kafka, Flink, Spark Streaming, Samza etc. Background with NoSQL databases such as Cassandra, MongoDB. Experience with orchestration/scheduling technologies like Kubernetes, SLURM, Nomad etc Ways to stand out from the crowd: Experience with public clouds like AWS. Worked in Reactive application designs (https://www.reactivemanifesto.org/). Experience in network stacks, protocols, SDN. 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 on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in ground-breaking 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.

NVIDIA is seeking passionate, highly motivated, and creative ASIC Verification Engineers to be part of its Graphics team working on the design of state of the art memory subsystem components used in their industry-leading Graphics Processors and Tegra SOCs. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have created a team of exceptional people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will be expected to plan and implement IP/Cluster/SOC functional verification of designs that constitute our Graphics Processors and Tegra SOCs. You would work on creating regression plans for code as well as functional coverage closure. You would perform pre-silicon validation activities such as XPROP simulations and GLS. What you’ll be doing: Own ASIC verification of IP/Cluster for complicated designs in RTL. Work with HW architects and designers to make the right implementation choices. Interact with the Performance verification teams to augment verification through dynamic simulations and/or Formal verification techniques. You will work with the specifications and ensure functional and code coverage of all the RTL which you will verify. Partner with and enable FPGA and S/W teams to ensure that S/W is tested. Be involved with post-silicon verification and debug. What we need to see: BS / MS or equivalent experience. 2+ years of design experience. Experience in ASIC verification of complex design units for at least one or two projects. Background with design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB). Exposure to System Verilog and UVM based methodology for ASIC verification is highly desired. Ways to stand out from the crowd: Knowledge of Memory controllers or prior experience with verification of IP/clusters involving access to Memory. Good debugging and problem solving skills. Scripting knowledge (Python/Perl/shell). Good interpersonal skills and ability & desire to work as a part of a team. NVIDIA is widely considered to be 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 are creative, autonomous and love a challenge, we want to hear from you.

NVIDIA is looking for a best-in-class ASIC STA Engineer to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency for today's AI platforms! Come and take a part in designing our groundbreaking large scale and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company. What you will be doing: Be in charge of full chip and/or chiplet level STA convergence from early stages to signoff. Take part in top level floor plan and clock planning. Optimize, together with CAD signoff flows and methodologies. Digital Partitions' and analog IPs' timing integration, giving feedback to PD/RTL and driving convergence. Work closely with logic design and DFT engineers to define and implement constraints for the various work modes, including their optimization for runtime and efficiency. What we need to see: B.SC./ M.SC. in Electrical Engineering/Computer Engineering. 3-8 years of experience in physical design and STA Proven experience in RTL2GDS and STA design and convergence Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.) Hands on STA experience from early stages to signoff using Synopsis Primetime. Deep knowledge in timing concepts required. Great teammate. NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!

We are now looking for a Senior Network Engineer to join our Cloud Infrastructure team to focus on the design, implementation, automation/programming and operation of the Network Infrastructure. We build scalable high-performance software defined networking (SDN) solutions for NVIDIA’s Multi-Tenant Cloud running GPU-accelerated applications like GeForce NOW (Cloud Gaming) and Picasso (Generative AI for visual applications). GeForce NOW is the world’s first cloud-gaming service capable of streaming PC and mobile games, with 10+ million users. NVIDIA's invention of the GPU 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. Today, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow with the smartest people in the world! What you will be doing: Design, develop and deploy next generation horizontally scalable multi-tenant network architecture. Design, prototype, implement and support a highly performant and efficient strategy for a large-scale, global network infrastructure. Also design and develop software for monitoring the overall network health for effective operations. Provide L1-L3 support for both Infrastructure and Software Defined Networking Create a kubernetes cluster from scratch with ansible and Jenkins pipelines Implement security strategies and standard methodologies to mitigate DDOS, emerging threats and other network related malicious activities. Perform maintenance, configuration changes and upgrades including service packs, patches, hotfixes and security updates to network devices Prepare and maintain documentation detailing the configurations of deployed solutions. Participate in incident response to resolve escalated service issues involving transit lines, cross-connects, switches and other parts of networking infrastructure. Perform analysis, diagnosis and remediation of highly sophisticated networking problems. Scalability mentality - design approach lends to repeatability and automation. Network automation/programming experience and scripting expertise in python, ansible is strongly preferred. What we need to see: BA/BS degree in Computer Science or related technical discipline or equivalent experience Certifications desired (CCIE, CCNP). 6+ years of experience with expertise in solving problems in high performance networks, network operations and service optimization in highly-available, large-scale, multi-site, international environments. 6+ years of development experience in a host and infrastructure networking. Deep understanding of various networking protocols, IP networking and LAN Switching. Experience in networking automation with coding skills in Python and Ansible Expertise in internet routing, traffic engineering and private and public peering. Background with carrier engagement regarding transit/circuit delivery and associated provisioning/troubleshooting. Experience in networking automation. Good communication and soft skillset with ability to influence and establish relationships with other software and IT functional groups such as development, server, storage and security teams. Ways to stand out from the crowd: Programming & Scripting: Python / Bash / Go / C Containerization: Docker, Kubernetes CI/CD: Jenkins pipeline, git actions Orchestration/Automation: Ansible, Foreman Familiarity of concepts for virtualization environments: VRF, OVS, overlays, Open-Switch.

NVIDIA is developing processor and system architectures that accelerate various deep learning applications. We are looking for an expert deep learning system performance architect to join our AI performance projection and analysis efforts. In this position, you will have a chance to work on performance projection, analysis, and optimization on state-of-the-art hardware architectures for various AI workloads. You will make your contributions to our dynamic technology focused company. What you'll be doing: Analyze state-of-the-art AI models on various GPU hardware platforms (e.g., Client (Desktop/Laptop) platforms and SoCs) Identify performance bottlenecks and propose optimizations Performance analysis of DL workloads (e.g., LLM) What we need to see: BS, MS or PhD students in relevant discipline (CS/EE/Math etc.,) Experience with popular AI models (e.g., LLM and AIGC models) Be familiar with typical deep learning SW framework (e.g., Torch/JAX/TensorFlow) Knowledge and experience on hardware architectures for deep learning applications #deeplearning

We are now looking for a Deep Learning Inference-Kernel and Performance Software Engineer Intern! We are rapidly growing our research and software development for Inference. We seek excellent Software Engineers and Senior Software Engineers to join our team. We specialize in developing GPU-accelerated Deep Learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in numerous areas. Join the team that builds software to enable new solutions. Collaborate with the deep learning community to implement the latest algorithms for public release in TensorRT. What you’ll be doing: Develop deeply optimized deep learning kernels for inference. Be responsible to do performance analysis and modelling to understand the performance limiter of current software stack as well as underlying hardware architecture. Collaborate with different teams to improve both the software and architectures to extend the state of the art in performance, efficiency, reliability and programmability. Work with cross-collaborative teams across automotive, image understanding, and speech understanding to develop creative solutions. What we need to see: SW Agile skills is helpful. Excellent C/C++ programming and software design skills. Python experience a plus. Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU. GPU programming experience (CUDA or OpenCL) desired. Expertise in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you! #deeplearning

Now we are looking for a Technical Artist for Games to join NVIDIA Developer Technology group (Devtech) and work with a team of experienced artists and engineers on innovative uses of graphics and AI technologies for games. The Devtech team works with NVIDIA researchers and leading game developers to bring cutting edge real-time graphics and AI research from across NVIDIA and the industry to gamers and 3D professionals in high performance packages such as path tracing and generative AI. What you will be doing:Create live demos for the latest rendering technologies on NVIDIA GPUs, such as real-time path tracing. Provide consulting and training services to the artists from game developers, evangelizing for the latest GPU features. Help game developers to create content using NVIDIA technologies. Interact closely with graphics engineers to optimize game assets for maximizing quality and efficiency on NVIDIA products. What we need to see:5+ years of experience in the game industry, or equivalent degrees of design or digital art. Strong knowledge of 3D graphics, including real-time rendering, shading languages and optimization skills. Master in at least one commercial game engine (Unreal or Unity), able to rapidly create game levels, being proficient in scripting and material graph system. Familiar with the content creation pipeline of traditional DCC tools (Blender, Maya, Houdini, etc.), including modelling, visual effects and rendering. Strong knowledge of physical based rendering, ray tracing and post-processing. Travel for on-site visits with developers and to conferences. Ways to stand out from the crowd:Good communication and interpersonal skills in English and Mandarin. Scripting knowledge (node graphs, Python, C#, MDL, etc.) of customizing DCC tools and making plugins. Experience of participating at least one 3A game development.

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. 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. NVIDIA is looking for a Corporate Communications PR Manager who consistently demonstrates outstanding work behaviors. As the Corporate Communications PR Manager, you will have a pivotal role in shaping NVIDIA's image and reputation through effective communication strategies. You will collaborate closely with diverse teams to develop and implement PR campaigns that effectively convey our vision and innovation to a global audience. Your PR and communications skill will help position NVIDIA as an industry leader. What you'll be doing: Develop and implement effective PR strategies to promote NVIDIA's brand and technology Collaborate with executives, marketing leads, and others to ensure consistent messaging across communication channels and achieve communication objectives Develop clear, concise press communication and cultivate strong long-term relations with general and business media Drive, coordinate, and participate in public relations events and initiatives Monitor and analyze media coverage and provide reports to our internal team members. What we need to see: Bachelor's degree in Communications, Public Relations, or a related field (or equivalent experience) 6+ years of experience in corporate communications or PR Proven track record of successfully conducting PR strategies and campaigns Exceptional writing, editing and verbal skills with a keen attention to detail. Excellent social skills. Strong media relations experience and existing network of media contacts Ways to stand out from the crowd: Strong organizational, time management and prioritization skills, with a logical approach to problem solving. Ability to thrive in a rapidly growing, international organization, working with colleagues across business units, functions, and geographies Voracious appetite for technology news Financial fluency, financial comms (ie earnings, M&A), or litigation experience Strong relationships with technology reporters in the enterprise space as well as public relations and/or journalism roles with consistent track record of success for a large brand Join our team in Santa Clara, CA, USA, and become part of the NVIDIA family. We offer 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/ The base salary range is 132,000 USD - 270,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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 searching for world-class engineers to build the XR future: Augmented Reality (AR), Virtual Reality (VR) and Spatial Computing. We seek team members that are passionate about working on hard problems, building elegant engineering solutions, driving industry-wide impact, and inventing the next medium of computing. What you'll be doing: Applying computer vision, deep learning, graphics and cloud computing to advance augmented reality (AR) and virtual reality (VR). Engaging in cross platform development in C++ Co-developing new algorithms What we need to see: BS/MS/Ph.D. in Computer Science or equivalent experience 15+ years of experience in a similar role Practical experience solving real world problems with one or more of: graphics, computer vision, deep learning, real-time communications, or cloud computing. Significant experience in C++ Extensive experience working in large scale code bases Ability to tech lead and work with agility across teams Ways to stand out from the crowd: Background with GPU performance optimization or AI model development Solid understanding of real time systems such as games and game engines Development experience with AR, VR in any form factor: smartphone, headset, glasses With highly competitive salaries and a comprehensive 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 and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you! The base salary range is 272,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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’s 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 deep learning — 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.” We're looking to grow our company and establish teams with the most thoughtful people in the world. We are looking for a strong technical architect to own end to end firmware architecture for the Client PC products. You will work with various stakeholders internally and externally, drive customer use cases, align architecture with customer requirements and release best products to market. Join us at the forefront of technological advancement. What you’ll be doing: Define platform firmware architecture including but not limited to EC and UEFI for the Client PC segments Work with PC architects and Client PC customers to narrow down on requirements for implementation to ensure speed of light product development. Work with internal teams and IBVs to make sure requirements are designed and implemented in the right way with each firmware and software module Drive reliability and optimization in firmware architecture from a client PC view point. Own firmware delivered to customers in terms of quality, reliability and performance. Designing and developing solutions using industry standards specifications. Contributing and driving open standards. Working closely with hardware teams to influence hardware design and review HW architecture & schematics. What we need to see: 12+ years of relevant experience working on client firmware and platform software development BS, MS, or PhD in EE/CS or related field of education (or equivalent experience). Hands on experience with PC boot firmware, EC, UEFI, Battery and PD controller firmware. Be able to actively code. Proven record of delivering firmware for client PC products Strong knowledge of Client computer architecture Strong and demonstrable skill in C/C++ and Python Experience programming and debugging skills for Client platforms. Experience in SCM (e.g. Git, Perforce) and project management tools like Jira. You should possess excellent written and oral communication skills, good work ethics, high sense of team-work, love to produce quality work and commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to complicated problems and hands on with coding. Ways to stand out from the crowd: Hands on with x86 or ARM system architecture. Solid experience delivering Client PC products Experience working with leading vendors of EC SOC, PD controller vendors 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 on the planet working for us. If you're creative and autonomous, we want to hear from you! The base salary range is 220,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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 a Solution Architect for the Telecommunications Industry team with domain specific knowledge and experience in Networking and Datacenter infrastructure! At NVIDIA, our Solution Architects are drawn from best-in-class engineers, architect, developers, and scientists who enjoy working with the latest technologies in networking, GPUs and AI. NVIDIA’s platform are broadly used across leading academic research centers, telecommunication and cable providers, industry software vendors and ecosystem start-ups. We need a passionate, hard-working, and creative individual to help us pursue more of these opportunities in telecommunications industry with specific focus on networking use cases in the telecommunications, and network service operator use cases. This role requires becoming a trusted technical advisor and leader who believe that accelerated computing, deep learning, advanced data science, and artificial intelligence is a new computing revolution and has the potential to transform the entire telecommunication domain. As a Solutions Architect, you will bring focus and technical expertise about NVIDIA technological advances to the telecommunication community. Your duties will vary from driving internal validation and benchmarking of our product portfolio, frameworks, SDKs, and toolkits to inventing proof-of-concept and driving customer adoptions. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is an important part of the Solution Architects role. What you will be doing: Provide technical advisory to partners and customers, educating them on new NVIDIA technologies and platforms. Engage with customer field trials and technical teams. Be a technical bridge between core product engineering team and partners/customers engineering team. Document and share your findings through targeted trainings, sharing sessions, whitepapers, blogs, and wiki articles. Realize the NVIDIA vision by integrating network architectures for telecommunication, cloud services, edge computing, network management, and security solutions. Manage technical project aspects of complex data center deployments, including design-in opportunities and responding to RFP/RFI proposals. Engage with NVIDIA Cloud Partners (NCP) to drive initiatives, shape new business opportunities, and cultivate collaborations in the field of Artificial Intelligence (AI). We make heavy use of conferencing tools, but some travel is required for this role. What we need to see: MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields (or equivalent experience) 5+ years of work-related proven industry experience in telecommunication industry, networking hardware, networking software system development, or systems engineering or equivalent experience. Experience in telecommunications networking concepts, in specific SDN/NFV, virtualization and cloud-native, edge compute (MEC), VNF eco-system, cybersecurity. Experience in server systems architecture (processors, memory sub systems, etc.) including hands-on experience. An ability to switch between high-level systems view and low-level detail view of complex systems and to understand, promote and troubleshoot full-stack solutions and designs. Ability to take a technical leadership role in a project. Excellent written and oral communication skills with the ability to collaborate with management and engineering. Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects. Strong analytical and problem-solving skills. Ways to stand out from the crowd: Background with generative AI and Deep Learning software architecture and frameworks. Experience working with modern and multi-tenant application deployment practices including but not limited to Docker/Containers, Kubernetes, and cloud-scale orchestration. Experience with telecommunication systems or design tools. 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. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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 seeking an innovative Sr. Customer Success Operations Manager to design and implement impactful customer journey maps and digital first programs aimed at enhancing the customer experience and increasing the value of NVIDIA’s Gen AI products and solutions. In this newly established role, you will collaborate closely with NVIDIA’s field, product, marketing, and partner teams to define, manage, promote, and evaluate the effectiveness of digital customer workflows, programs, and materials. Your efforts will support the increased adoption and expansion of solution offerings, driving greater customer value and loyalty. What you’ll be doing: Gain Deep Customer Insights: Develop a thorough understanding of our existing customers, including their use cases, onboarding experiences, common problems, and criteria for success. Visualize Customer Journeys: Create detailed visual journey maps, including service blueprints, flowcharts, layouts, diagrams, charts, and models to document and illustrate the customer journey. Design Customer Onboarding Programs: Develop and implement a digital-led customer onboarding program tailored to different customer tiers and products. Drive Measurable Programs: Lead and implement prioritized, digital-first initiatives such as large-scale outreach campaigns to at-risk customers and customer education programs on new feature developments to improve the overall customer experience and value. Analyze Success Metrics: Evaluate and document the performance of specific digital success motions like onboarding, adoption, and expansion, and recommend improvements to enhance the effectiveness of our customer success lifecycle. Translate Insights into Strategies: Convert digital initiatives and insights into actionable strategies for our customer-facing teams. Strategic and Hands-On: Demonstrate a willingness to engage in both high-level strategic planning and detailed operational tasks to drive success. What we need to see: 12+ years overall experience with 10+ years of customer success and operations, sales operations or product marketing, Proven expertise in building playbooks, managing scaled programs, and developing customer engagement initiatives. Strong analytical abilities to measure program success, excellent written and verbal communication, and effective interpersonal skills for building and maintaining relationships. Ability to thrive in a fast-paced, evolving environment with a passion for precision and attention to detail. Capable of independent work, multitasking, and prioritizing multiple projects. Creative yet process-driven, with a history of managing complex, cross-functional projects. Experience working with large high tech product organizations. BS or equivalent experience Ways to stand out from the crowd: MBA or equivalent experience. Technical experience and background. A drive to learning innovative technologies and building repeatable and scalable customer engagement motions Understanding of data science workflows, machine learning, and AI trends NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you! The base salary range is 156,000 USD - 247,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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.

Would you like to be a part of one of the most exciting companies in technology? NVIDIA the world leader in Visual and Accelerated Computing, is seeking an Enterprise Sales Account Manager with a proven track record in selling complex technology solutions to our customers within the Manufacturing industry, with a focus on the Humanoid Robotics market segment. This full-time position requires close working relationships with NVIDIA solution architects and business development leaders to drive revenue for the company. If you have a passion for how technology is driving dynamic changes in exciting segments like Artificial Intelligence, Deep Learning, Cloud and Advanced Software Development, we'd like to talk with you! What you'll be doing: Attain a minimum of 100% Quota attainment selling to Humanoid Robotics and Manufacturing Accounts Maintain and submit accurate forecasts Present NVIDIA solutions, overcome objections, negotiate and close business over the phone, TEAMS and in person Team with NVIDIA Channel, Business Development, Sales Leadership & Marketing to build your business and facilitate sales opportunities Experience working with Startup, Mid-Market, and/or Enterprise Customers Work closely with partners, OEMs, CSPs, and ecosystem partners to build and implement go-to-market plans Lead all aspects of the selling cycle to help customers expand revenue Develop excellent strategic relationships with customers to understand their software and computing needs Have an understanding and clear delivery of NVIDIA value proposition, key features, product messages, and positioning What we need to see: Bachelor’s degree or equivalent experience 8+ years of sales experience with minimum of 2 of those years in an inside sales role 5+ years of technology quota carrying sales experience responsible for the full sales cycle (prospecting, customer presentation/demos, negotiating, and closing the sale) Understanding of NVIDIA key platform technologies: NVIDIA Enterprise Support (NVAIE), Generative AI/LLMs, Software (SDK/APIs), High Performance Computing (HPC), AI/ML workloads, Digital Twins Experience selling and having established relationships within the Manufacturing and Robotics industrial vertical. Exceptional customer and channel partner relationship skills within the Manufacturing and Robotics ecosystem Proven success in rolling up a forecast to sales leadership Experience with going to market and teaming with Technology Industry Channel Partners Excellent communication (interpersonal and presentation) and closing skills. Skilled at selling in a Cloud environment including working with CSP, ISV, and end-user customer Salesforce.com experience is required. Ability to travel as needed Ways to stand out from the crowd: Adept at balancing intense short-term pressures with overall long-term goals Experience related to technology, engineering, AI/ML or robotics. Excellent listening skills and ability to persuade -- using communication that convey concepts in a creative way Technical Account Manager experience. A polished executive presence with a track record of successfully growing revenue for new innovative technology-based solutions Demonstrated ability to sell and work in a matrix-managed team culture Understanding of data science workflows, modern machine learning and AI trends NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most intelligent and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! The cash compensation range is 128,000 USD - 207,000 USD, with 85% paid through base salary and 15% variable compensation. Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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 an EMEA Regional Business Development Manager to support the growth of our consumer laptop business throughout EMEA. This role will ideally be based in Reading, UK or Munich Germany with a mixture of office based and remote working, although other European locations may be considered. Your mission is to drive the growth of NVIDIA revenue in consumer laptops throughout EMEA, working with our OEM’s, Key channel partners and alliance partners. This is a highly visible role, you will be working closely with the cross functional leadership team at NVIDIA to drive growth. Your focus will be to establish NVIDIA’s leadership in this segment, build and execute the plan for the associated revenue and pipeline growth. The role requires strong executive leadership skills along with the ability to execute and contribute towards the delivery of sales results. It requires strong domain expertise in consumer laptops, with executive relationships. Collaborate closely with senior business development, product, and sales leadership. Drive alignment and build pipeline to expand NVIDIA’s revenue. The ideal candidate thrives in a fast-paced dynamic environment and enjoys the challenges that rapid growth creates. A consistent record of leadership in an impactful sales/business development organization is required. History of working within OEM’s or a key component manufacturer will be crucial. Regular travel will be expected throughout EMEA and potentially the U.S and ASIA. The role can be office or remote based in EMEA. You will be reporting into the Consumer Sales Director for Laptops in EMEA. What you’ll be doing: Support the design and execution of the growth strategy for key OEM’s within EMEA for our consumer laptop business. Collaborate with top leadership across the company to align and implement the strategy. Develop successful partnerships with key retail partners alongside our regional teams, outlining mutual performance objectives, targets and strategy alignment. Lead and support sales execution in partnership with our regional sales teams in EMEA. Discover, develop and nurture key customer relationships/light house accounts. Engage, enable and energize channel sales teams. Support sales critical issues, partner/channel conflicts and related business issues. Drive and track short term and long-term growth strategy. Support forecasting and product planning for our OEM sell in and sell through. Training, presenting at events and key partners throughout EMEA. What we need to see: Bachelor’s degree from a leading University or relevant experience. 15+ overall years of sales or business development experience in consumer. Preferably within the laptops business. Deep understanding of how to collaborate with OEM’s. Strong relationships with executives at OEM's, retailers and e-tailers throughout EMEA Demonstrated experience with sell-to and sell-through in consumer laptops. Possess a strong EMEA client contact base, deep consumer expertise along with sales and buying practices. Shown success of building positive partnerships with large channel partners. Consistent track record of sales execution and overachievement. Experience with leading and closing sophisticated deal negotiations and alliances. Able to travel when needed worldwide. 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! NVIDIA is an equal opportunity employer. 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 a self-motivated manufacturing Engineer to be in TW Hsinchu. You will support to build next-generation NVIDIA board level GPU, Tesla, DPU products, work closely with cross functional teams to help bring highly complex board products from its design phase into mass production. The ideal candidate will drive the scope of test methodology on GPU, Tesla, DPU products with cross functional teams, review design concept, define validation plan, develop/automate config of test infrastructure to test various product features, optimize test manufacturability. Familiar with electronic products production build and test flow, have production test capacity sense and capability. What you will be doing: Work closely with internal team and CM factory to maintain test infrastructure factors & mfg flow implementation. Support the upcoming roadmap execution and fast ramping of test capacity/test infrastructure in line with fast growing of manufacturing volumes in multiple CM sites, Define and improve board manufacturing processes. Design, develop, and implement cost-effective methods of testing and troubleshooting systems and equipment for all phases of board level product development and manufacturing. Support diagnosis and analyze test issues at the board level product with hardware, software, and operations engineering teams, Assist and provide feedback on board level product debug tools to SW team members. Board level product test setup/troubleshooting (NPI+MP) follow up if CM factory has any issues for Diag package and FTP document. Help design tools to automate product definitions, data collection, test case execution, and results analysis. What we need to see: BS or MS in EE, CS, Automatic Control, Systems Engineering. 5+ overall years’ experience with Manufacturing Test and test infrastructure develops experience. Familiar with GPU, DPU and data center tested platforms software Deep knowledge of low-level software drivers and kernel. Ability to debug at board/system level and usage of probing hardware. Self-motivated and able to work effectively across different functional teams from local and oversea. Excellent written and oral communication skills in English, good communication and organization skills, with a logical approach to problem solving, good time management and task prioritization. Be proactive and drive projects with a minimum of supervision. Ways to stand out from the crowd: Knowledge of board and data center manufacturing process, system assembly / testing. Experience in x86 assembly and knowledge of the PC architecture and power management. Familiarity in Shell, JAVA, Perl, Python script programming; multi kinds of OS, such as Windows, CentOS, Ubuntu. Experience in test solution, failure processing, and test program development Experience with running system level diagnostic tests and deeper understanding of the purpose of those tests With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. 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, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are looking for a self-motivated manufacturing Engineer to be located in TW. You will support to build NVIDIA board level GPU, Tesla, SXM and Tegra products, work closely with cross functional teams for highly complex board products manufacturing process development, review and maintaining. Familiar with electronic products production build, assembly/disassembly, and test process. What you will be doing: Manage DFM from early design stage until closure. Transition and qualify product manufacturing process knowledge to new site for mass production, product mechanical, cosmetic, handling prevention plan before releasing to mass production, manufacturing process risk assessment with new product& new manufacturing process. Analyze design and manufacturing risks and samples/prototype manufacturing. Ensure manufacturing line reediness: Tooling, process, fixtures, testing equipment’s, Automation. Develop and deploy DFX methodologies for our next generation products which will serve for MFG purpose together with other teams. Be responsible on component maturity – yield, quality issues, taking manufacturing issues to closure. Accomplish robust and efficient manufacturing for design at suppliers in the area of Thermal, mechanical, from NPI stage till transfer to mass production. What we need to see: BS or MS in EE, Automatic Control, Systems Engineering, Mechanical ENG (or equivalent experience). Strong verbal and written communication skill is a must. 5+ years CM manufacturing process (mechanical assembly, testing, packing process) management experience in computer electrical product. Familiarity with 3D Drawing software Creo, or other mechanical drawing software. Well knowledge on manufacturing process qualification tool (strain gauge test, pressure paper test, DNP, cross section…). Familiarity with BGA corner bonding solution, TIM dispensing, Laser etching, underfill. Know well of CPK, GR&R to review equipment or tester capability. Know about ESD&EOS of ESD20.20 for computer product. Familiarity with IPC-A-610 Acceptability of Electronic Assemblies. Able to work in a team environment cordially and effectively. Must have excellent interpersonal skills, able to relate respectfully with others. Ways to stand out from the crowd: Knowledge of board manufacturing process, system assembly / testing. Experience in x86 assembly and knowledge of the PC architecture. Familiarity in muti kinds of OS, such as Windows, CentOS, Ubuntu. Experience in manufacturing process. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. 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, gender, sexual orientation, age, marital status, veteran status, or disability status.