NVIDIA

Providing technical support, troubleshooting complex enterprise issues, and mentoring junior engineers. | Experience in technical support and systems administration with strong troubleshooting and customer communication skills. | The Data Center Engineering and Operations team builds AI solutions, software and automation to accelerate the end-to-end data center operations lifecycle. Our solution portfolio enables project demand, procurement, asset intake, environmental health and safety, data center infrastructure management and critical analytics. We are seeking a senior full stack software engineer to be part of our high performing team, leading technical design and development of features for our growing suite of solutions. What you'll be doing: Iterate our software solutions, with a focus on continuing our effort to integrate AI features to deliver capabilities, making it easier for our customers to request, update and find information. Securely provide software features, automation and reporting across operational data, purchasing data, power data, lease data. Develop and implement software solutions and features, assign engineering tasks to contracted engineers, provide technical guidance and conduct code reviews to ensure operational, quality and security standards are met. Maintain documentation for software engineering standards, systems and data pipelines including interfaces to vendors and Nvidia services such as Jira, Nautobot and HANA. Define systems standards and documentation Develop, validate, and deploy scalable web applications, automation tools, and APIs using innovative technologies and frameworks. Define the underlying technology stack, coding standards and development procedures. Ensure that engineers are following these standards. Experience working in multi-functional teams, partnering closely with systems engineers, product managers, UI/UX designers, QA, and operations to deliver end-to-end solutions. Strong understanding of Agile/Scrum methodologies, including sprint planning, backlog grooming, and iterative delivery. Evaluate requirements and capture engineering development activities to develop new features. Tackle and debug issues across the full stack. Drive performance tuning and automation as well as support, maintain and document software functionality and infrastructure. Collaborate with the internal teams to fully understand business requirements and provide substantial and measurable results What we need to see: BS or MS in Computer Science from an accredited University/College (or equivalent experience), 12+ years of hands-on software engineering, systems engineering and experience leading other specialists Extensive experience with C#/ASP.Net Core building RESTful web services and scalable web/cloud applications. 8+ years of direct experience in backend development, database, web technologies, on-prem & cloud platforms, or data pipeline management. Breadth of experience in front-end technologies like React, Angular, NextJS, jQuery, etc. Experience with integrating with DCIM tools such as Nautobot, ticketing systems such as ServiceNow and Jira and procurement systems such as SAP/HANA. Good understanding of on-prem & cloud platforms in the areas of virtualization and infrastructure, distributed systems, load balancing and security. Experience with Continuous Integration and Continuous Delivery. Evidence of strong technical communication skills, both written and oral. Ways to stand out from the crowd: Experience developing data center operations and logistics solutions. You are a meticulous organizer and have the determination to surmount new challenges You are a mentor to more junior engineers and can lead others in engineering efforts. Demonstrate use of out-of-box thinking for creative solutions to highly sticky problems Previously implemented AI and automation in a variety of ways to streamline manual processes. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until February 23, 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Coordinate environmental and sustainability compliance programs and training across data centers focusing on regulatory and ISO standards. | Bachelor's degree or equivalent with 8+ years managing environmental programs including waste management and sustainability. | Join NVIDIA’s outstanding team and help redefine the future of computing! As a Data Center Engineering and Operations (DCEO) Environmental Compliance Manager, you will ensure our data centers meet top environmental standards. You will be joining a distributed team that works within data centers and laboratories where we launch our first article AI factories for testing. This role offers a rare chance to work with cutting-edge technology, using AI to improve our processes and results. You will work closely with a world-class group of professionals committed to innovation and quality. What you'll be doing: Coordinate with the DCEO Operations staff, Collocation provider contacts, the company’s real estate management group, and the environmental health and safety division to develop and maintain environmental and sustainability compliance programs, procedures, and training. This includes Resource Recovery and Conservation Act (RCRA) and Spill Prevention Control and Counter Measures (SPCC) plans in the US and international equivalents, as well as International Standards Organization- (ISO-) compliant programs. Initiate and conduct workshops and training sessions for DCEO operational staff on environmental and sustainability requirements including waste management, energy sustainability, and fuel storage and management related to various workplace factors. Work together with DCEO Operations team, Collocation provider partners, Corporate Real Estate Services, and the Corporate EHS to coordinate data center and rack lab measures and support ISO50001 and ISO14001 compliance in mix of global collocated data centers and corporate locations. Develop a program for regular inspections of facilities to ensure adherence to RCRA, SPCC, ISO, national, local, and environmental and sustainability requirements. Ensure accurate chemical and waste management, including maintaining inventories, safety data sheets, labeling, inspections, and disposal. Coordinate with external firms and internal teams as the primary contact for audits and compliance inspections within DCEO site operations. Act as Product Manager for assisting with the development of standard and emergency operating procedures, identifying issues, and generating corrective action backlogs. Leverage AI experience to integrate autonomous solutions into documentation processes, improving team performance. What we need to see: Bachelor's degree in environmental science, management, or related field (or equivalent experience) 8+ years of experience in environmental program preparation, management, and implementation including waste management, sustainability practices, and petroleum storage Knowledge of auditing policies, standards, procedures, and ISO-compliant programs Successful management and completion of ISO audits Experience with preparation of Spill Prevention, Countermeasures and Control (SPCC) plans, water and wastewater management programs, and air permits. Ways to stand out from the crowd Masters degree in environmental management Management of global environmental auditing program and program portfolios #LI-Hybrid 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. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until February 23, 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Develop and maintain large-scale AI infrastructure systems, improve observability, and implement SRE principles. | Requires 5+ years in software development or production engineering, proficiency in Python and other languages, expertise in Linux and cloud environments, and knowledge of observability and CI/CD tools. | NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 30 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! 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 and interested in AI Infrastructure, we want to hear from you! What You Will Be Doing • Develop and maintain large-scale systems supporting critical use-cases including frontier model training for AI Infrastructure, driving reliability, operability, and scalability across global public and private clouds. • Collaborate on tooling for HPC, GPU Training, and AI Model training workflows. • Build tools and frameworks to improve observability, define actionable reliability metrics, and enable fast issue resolution, driving continuous improvement in system performance. • Establish frameworks for operational maturity, lead sustainable incident response protocols, and conduct blameless postmortems to improve team efficiency and system resilience. • Implement SRE fundamentals, including incident management, monitoring, and performance optimization, while designing automation tools to reduce manual processes and operational overhead. • Work with engineering teams to deliver innovative solutions, uphold high standards for code and infrastructure, and contribute to hiring for a diverse, high-performing team. What We Need To See • Degree in Computer Science or related field, or equivalent experience with 5+ years in Software Development, SRE, or Production Engineering. • Proficiency in Python and at least one other language (C/C++, Go, Perl, Ruby). • Expertise in systems engineering within Linux or Windows environments and cloud platforms (AWS, Azure, GCP, or OCI). • Strong understanding of SRE principles, including error budgets, SLOs, SLAs, and Infrastructure as Code tools (e.g., Terraform CDK). • Hands-on experience with observability platforms (e.g., ELK, Prometheus, Loki) and CI/CD systems (e.g., GitLab). • Strong communication skills with the ability to convey technical concepts effectively to diverse audiences. • Commitment to fostering a culture of diversity, curiosity, and continuous improvement. Ways To Stand Out From The Crowd • Experience in AI training, inferencing, and data infrastructure services. • Proficiency in deep learning frameworks like PyTorch, TensorFlow, JAX, and Ray. • A strong background in cloud or hardware health monitoring and system reliability. • Hands-on expertise in operating and scaling distributed systems with stringent SLAs, ensuring high availability and performance. • Knowledge of incident, change, and problem management processes, fostering continuous improvement in sophisticated environments. 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until February 21, 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. JR2013272

Design and implement LLVM-based backend JIT compiler targeting NVIDIA GPUs with new compiler passes and optimizations. | 8+ years compiler development including 3+ years LLVM code generation, strong C++ skills, and compiler design expertise. | 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 a Raytracing Compiler Engineer to join as a member of our international engineering team. What You'll Be Doing • Guide the design and implementation of a new LLVM-based backend JIT compiler targeting NVIDIA GPUs. • Design and develop new compiler passes and optimizations required to meet the high-performance and low compilation time requirements of the compiler. • Work with global compiler, hardware and application teams to oversee improvements and problem resolutions. • Apply and adapt the latest compiler technologies to produce premier, robust, supportable compilers and tools. • Get a chance to influence and work on new GPU architectures. What We Need To See • B.S. or higher degree in Computer Science/Engineering or equivalent experience. • 8+ years of compiler development experience, including 3+ years of experience in LLVM with a focus on code generation. • Expertise in LLVM code generation, including instruction scheduling, software pipelining, register allocation, and LLVM IR. • Proficient in compiler design and in performance analysis tools. • Excellent hands-on C++ programming skills applied to industry standard C++ compilers and development frameworks. • Strong background in software engineering principles crafting robust and maintainable solutions to challenging problems. • Good communication and documentation skills and self-motivated. Ways To Stand Out From The Crowd • Masters or PhD preferred, with 5+ years of relevant experience. • Developing compiler optimizations and code generation for GPUs! • Developing CUDA, DirectX, OpenGL/Vulkan, OptiX applications. • You should have strong interpersonal skills and be capable of leading and influencing others in the department. 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 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 February 22, 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. JR2012859

Develop and maintain Linux graphics driver solutions for NVIDIA GPUs, focusing on performance, feature support, and cross-platform compatibility. | Experience in graphics system level software development on Linux, proficiency in C/C++, and knowledge of binary translation and system call wrapping. | We are now looking for a Linux Graphics Senior Software Engineer! 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. Today, we are increasingly known as “the AI computing company”. We are growing NVIDIA and the Linux graphics driver team with the smartest people in the world. We're looking for outstanding software engineers to help us develop driver solutions for new GPUs on desktop, server and gaming Linux platforms; including our newest addition to the line-up: the groundbreaking DGX Spark. We collaborate with open-source frameworks like Vulkan and OpenGL, and we enable Linux games and apps to take advantage of NVIDIA GPUs for both x86 and ARM architecture. What you’ll be doing: • You will be part of the definition, build, development and testing of brand new professional and consumer Linux graphics software. • Develop and maintain SW technologies targeted at enabling and supporting NVIDIA's GPU hardware: on the current and upcoming Linux based operating systems, ensuring the best performance and feature set and cross platform implementation. • Engineer high-performance Dynamic Binary Translation (DBT) solutions to bridge the architecture gap, enabling native-speed x86-64 gaming on Linux/ARM64 platforms. • Work with other worldwide internal teams, including software, hardware, architecture, and OEM support. What we need to see: • A bachelor’s or higher degree in electrical engineering, computer science, or computer engineering (or equivalent experience). • 3+ years "hands on" experience developing graphics system level software, especially for Linux. • 5+ years of programming experience in C and C++. • Low-level Linux operating system knowledge, specifically focus on binary translation, dynamic recompilation (JIT), and system call wrapping to achieve near-native performance. • Very good oral and written communication skills. • A self-starting, positive contributor to team goals. Ways to stand out from the crowd: • You have a background in Linux gaming development. • Prior experience with ARM Linux systems and x86 emulators like box64 and FEX-Emu. • Contributions to open-source projects and frameworks. 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until February 14, 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.

Developing and maintaining large-scale systems, improving observability, and implementing SRE principles. | Extensive experience in full-stack web development, cloud platforms, and modern JavaScript frameworks, but lacking specific SRE, Python, and systems engineering expertise required for this role. | Job Description: • Develop and maintain large-scale systems supporting critical use-cases including frontier model training for AI Infrastructure, driving reliability, operability, and scalability across global public and private clouds. • Collaborate on tooling for HPC, GPU Training, and AI Model training workflows. • Build tools and frameworks to improve observability, define actionable reliability metrics, and enable fast issue resolution, driving continuous improvement in system performance. • Establish frameworks for operational maturity, lead sustainable incident response protocols, and conduct blameless postmortems to improve team efficiency and system resilience. • Implement SRE fundamentals, including incident management, monitoring, and performance optimization, while designing automation tools to reduce manual processes and operational overhead. • Work with engineering teams to deliver innovative solutions, uphold high standards for code and infrastructure, and contribute to hiring for a diverse, high-performing team. Requirements: • Degree in Computer Science or related field, or equivalent experience with 5+ years in Software Development, SRE, or Production Engineering. • Proficiency in Python and at least one other language (C/C++, Go, Perl, Ruby). • Expertise in systems engineering within Linux or Windows environments and cloud platforms (AWS, Azure, GCP, or OCI). • Strong understanding of SRE principles, including error budgets, SLOs, SLAs, and Infrastructure as Code tools (e.g., Terraform CDK). • Hands-on experience with observability platforms (e.g., ELK, Prometheus, Loki) and CI/CD systems (e.g., GitLab). • Strong communication skills with the ability to convey technical concepts effectively to diverse audiences. • Commitment to fostering a culture of diversity, curiosity, and continuous improvement. Benefits: • comprehensive benefits package • equity

Lead and mentor a distributed team working on GPU backend compiler development, ensuring high-quality software delivery. | Extensive experience in production compiler development, management, and proficiency in C++, with knowledge of LLVM and MLIR preferred. | NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are searching for an accomplished technical leader/manager for an exciting and fun role in our GPU software organization. We deliver features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality. Our compiler organization makes its mark on every GPU NVIDIA produces. In this role you will use your compiler expertise coupled with your management experience to help the engineering team working on back-end compiler for NVIDIA's GPUs, successfully achieve business goals. This work spans a wide range of applications areas, with multiple different compilers providing the input into our back-end compiler. Each of these areas can require different strategies to meet their needs, while ensuring support of a product that targets the same GPU. You will be solving critical problems working alongside some of the top valued diverse minds in GPU computing and systems software, doing what you enjoy. If this sounds like a fun challenge, we’re eager to get in touch with you! What You Will Be Doing • Providing supervisory mentorship and technical direction to a geographically distributed team of backend compiler development engineers, including planning, scheduling and execution of projects and activities • Understand and guide the implementation of both Nvidia’s proprietary and LLVM based backend compilers. • Help maintain and enhance GPU backend JIT compilers. • Collaborate closely with teams developing related components to ensure that we meet customer needs in the graphics and CUDA/C++ product areas. • Establish strong relationships and trust through excellent execution and high quality of software development. What We Need To See • BS or higher degree in Computer Science, Computer Engineering; related field; or equivalent experience. • 6+ years of experience developing production compilers coupled with 3+ years of management and /or technical leadership experience. • Proficient in compiler design and in performance analysis tools. • Known for your strong interactive, verbal, and written communications skills. • Strong hands-on C++ programming skills applied to industry standard C++ compilers and development frameworks. • Track record of success in leadership and mentoring experience • Demonstrated ability to work across organizations at all levels. Ways To Stand Out From The Crowd • Strong track-record of technical management experience. • Understanding of parallel programming concepts. • Knowledge and experience of ML compilers including LLVM and MLIR. 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 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 January 27, 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. JR2011455

Lead and mentor a distributed team working on backend GPU compiler development, ensuring high-quality software delivery and collaboration across teams. | Extensive experience in production compiler development, management, proficiency in C++, and understanding of parallel programming concepts. | NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are searching for an accomplished technical leader/manager for an exciting and fun role in our GPU software organization. We deliver features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality. Our compiler organization makes its mark on every GPU NVIDIA produces. In this role you will use your compiler expertise coupled with your management experience to help the engineering team working on back-end compiler for NVIDIA's GPUs, successfully achieve business goals. This work spans a wide range of applications areas, with multiple different compilers providing the input into our back-end compiler. Each of these areas can require different strategies to meet their needs, while ensuring support of a product that targets the same GPU. You will be solving critical problems working alongside some of the top valued diverse minds in GPU computing and systems software, doing what you enjoy. If this sounds like a fun challenge, we’re eager to get in touch with you! What You Will Be Doing • Providing supervisory mentorship and technical direction to a geographically distributed team of backend compiler development engineers, including planning, scheduling and execution of projects and activities • Understand and guide the implementation of both Nvidia’s proprietary and LLVM based backend compilers. • Help maintain and enhance GPU backend JIT compilers. • Collaborate closely with teams developing related components to ensure that we meet customer needs in the graphics and CUDA/C++ product areas. • Establish strong relationships and trust through excellent execution and high quality of software development. What We Need To See • BS or higher degree in Computer Science, Computer Engineering; related field; or equivalent experience. • 6+ years of experience developing production compilers coupled with 3+ years of management and /or technical leadership experience. • Proficient in compiler design and in performance analysis tools. • Known for your strong interactive, verbal, and written communications skills. • Strong hands-on C++ programming skills applied to industry standard C++ compilers and development frameworks. • Track record of success in leadership and mentoring experience • Demonstrated ability to work across organizations at all levels. Ways To Stand Out From The Crowd • Strong track-record of technical management experience. • Understanding of parallel programming concepts. • Knowledge and experience of ML compilers including LLVM and MLIR. 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 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 January 27, 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. JR2011455

Design, deploy, and operate GPU compute clusters for high-performance computing and AI workloads, including automation, performance optimization, and cross-team collaboration. | Proven experience with large-scale HPC systems, Linux, cluster management tools like Ansible, HPC schedulers such as Slurm, and scripting in Python or C/C++, with a focus on performance analysis and troubleshooting. | NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a highly skilled and experienced HPC Cluster Engineer to design, deploy, and operate GPU Compute Clusters for EDA and high-performance computing workloads used across multiple teams and projects. Join our engineering team and collaborate with researchers and infrastructure teams to ensure our GPU clusters perform efficiently, scale well, and remain reliable. What You'll Be Doing • Provide leadership and strategic mentorship on the management of large-scale HPC systems including the deployment of compute, networking, and storage. • Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions. • Continuously improve infrastructure provisioning, management, observability and day to day operation through automation. • Build and nurture customer and cross-team relationships to consistently support the clusters and address changing user needs. • Support our researchers to run their workloads including performance analysis and optimizations. • Conduct root cause analysis and suggest corrective action. Proactively find and fix issues before they occur. • Build innovative tooling to accelerate researchers' velocity, debugging and software performance at scale. What We Need To See • Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience. • Minimum of 5 years of proven experience crafting and operating large scale compute infrastructure, including cluster configuration managements tools such as BCM or Ansible. • Experience with AI/HPC job schedulers and orchestrators, such as Slurm, LSF, PBS or K8s. Applied experience with AI/HPC workflows that use MPI and NCCL. • Proficient in using Linux including Rocky/Centos/RHEL and/or Ubuntu Linux distributions. A solid understanding of container technologies such Enroot and Docker. • Proficiency in one scripting language (Python, Bash) and at least one compiled language (Golang, Rust, C, C++...). • Experience analyzing and tuning performance for a variety of AI/HPC workloads. Excellent problem-solving to analyze complex systems, identify bottlenecks, and implement scalable solutions. • Excellent communication and collaboration skills, with the ability to work effectively with various teams and individuals. • Passion for continual learning and staying ahead of new technologies and effective approaches in the HPC infrastructure fields. Ways To Stand Out From The Crowd • Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking. • Experience supporting EDA workloads and tools. • Familiarity with High-Speed Networking pertaining to HPC including InfiniBand, RDMA and RoCE. • Understanding of fast, distributed storage systems such as Lustre and GPFS for AI/HPC workload. • Familiarity with metrics collection and visualization at scale with Prometheus, OpenSearch and Grafana. NVIDIA offers competitive salaries and benefits. Our experienced and talented employees contribute to our outstanding engineering team's rapid growth. If you're a tech enthusiast, apply now! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until January 24, 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. JR2003684

Lead strategic alliances and ecosystem development to promote NVIDIA's Physical AI solutions in life sciences automation. | Extensive experience in automation within biological sciences or manufacturing, strong partner ecosystem development skills, and technical credibility in AI-enabled automation. | NVIDIA is seeking a Senior Alliance Manager for Physical AI in Life Sciences to advance meaningful alliances, community building, and developer/community engagement across automation in the life sciences sector. This role sits at the intersection of Product, Engineering, Applied Research, and external partners. It is responsible for accelerating the adoption of NVIDIA's Physical AI stack in real-world experimental and production settings. This role must cover the full workflow spectrum from discovery labs through pilot, clinical, and commercial bio-manufacturing. It is not a generic BD role; it requires technical credibility, ecosystem leadership, and strong partner execution. What You'll Be Doing: Lead strategic relationships with key partners and opinion leaders within the field of life sciences automation. Build and activate a network across AI science factory builders, lab automation system developers, instrument ecosystems, and contract manufacturing and development organizations. Promote NVIDIA Physical AI capabilities (Isaac Sim/Lab, Omniverse, Cosmos, Metropolis, cuOpt, Jetson/IGX) across the ecosystem. Drive early adoption of NVIDIA technologies in robotic manipulation, work cell orchestration, digital twins, fleet optimization, and vision-based quality workflows. Translate partner and market feedback into actionable product and engineering requirements. Work across the organization with Healthcare BD, DevRel, Product, Engineering, and Applied Research teams. Speak at relevant scientific, technical, and industry conferences. What We Need To See: Master's, PhD, or equivalent experience in robotics, automation engineering, biomedical/chemical engineering, or related domain. 8+ years working in automation within the biological sciences, robotics, manufacturing automation, or process development. 4+ years in developer-facing strategic partnerships, ecosystem programs, or DevRel-style leadership. Strong understanding of lab and manufacturing automation pertaining to the biotechnology sector, including regulated workflow constraints. Hands-on experience in technical computing environments relevant to computational representation, digital counterparts, AI-enabled automation, or adjacent domains. Outstanding written and verbal communication skills across technical and executive audiences. Ways To Stand Out From The Crowd: Proven leadership in robotics, lab automation, or manufacturing digital transformation related to the biological research field. Track record building high-value ecosystem partnerships with measurable platform adoption outcomes. Practical familiarity with NVIDIA-relevant platform areas (simulation, digital twins, vision AI, optimization, edge AI). Strong conference and public speaking record in scientific or technical communities. Proven track record in developing product direction through structured field feedback and requirement synthesis. 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! 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 February 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Develop and maintain release automation pipelines, evaluate and improve existing processes, and support package distribution infrastructure. | Requires 5+ years in software delivery or DevOps, expertise in CI/CD, Python, Git, and package management systems, with a BS/MS in relevant fields. | Are you passionate about building robust automation pipelines and modernizing software delivery processes at scale? We are seeking System Software Engineers to join Kitmaker, our team responsible for getting NVIDIA's software out the door. As NVIDIA scales its AI computing and accelerated software portfolio, efficient and reliable release automation becomes pivotal to our success. Kitmaker oversees installer creation and release for many business areas of NVIDIA—from CUDA to our expanding Python packaging ecosystem—and we're investing heavily in modernizing our processes through innovative CI/CD strategies and intelligent automation. If you enjoy not just building automation but reimagining how software delivery should work, you'll thrive on our team! What you'll be doing: Develop, implement, and maintain release automation pipelines using GitLab CI/CD, working closely with product teams across NVIDIA to understand their unique deployment requirements and translate them into scalable, reusable automation solutions Evaluate existing processes with a critical eye, identify modernization opportunities, and own the design and implementation of process improvements that improve efficiency, reliability, and developer experience across the organization Support and extend our conda-forge release automation infrastructure for NVIDIA's Python packages, collaborating with both internal teams and the open-source community to ensure reliable delivery of Python software at scale Partner with other release automation teams to integrate our pipelines into their workflows, creating a cohesive and consistent software delivery experience that spans multiple product lines and technologies Monitor pipeline health, provide actionable metrics, and continuously iterate on automation strategies to stay ahead of NVIDIA's growing scale and complexity What we need to see: BS/MS degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 5+ years of experience in software delivery, release automation, DevOps, or related areas Strong expertise in CI/CD pipeline development with GitLab or similar platforms Proven track record to identify inefficiencies in existing solutions and design and implement practical improvement strategies Experience with package management systems such as RPM, Debian, Python wheels, or similar technologies Proficiency in Python or other scripting languages for building automation tools Expertise in source control systems, particularly Git Demonstrated ability to abstract technical complexity into clean, maintainable automation Strong interpersonal and communication skills with the ability to work independently across multiple teams with minimal direction Ways to stand out from the crowd: Experience with conda-forge, PyPI, or other open-source package distribution ecosystems. Contributions to open-source Python packaging projects or active involvement in packaging communities Track record of modernizing legacy infrastructure or driving organizational process improvements. Deep expertise in GitLab CI/CD with a Configuration-as-Code approach Experience with artifact management systems like Artifactory. Detailed policy enforcement and governance experience in software delivery contexts. Understanding of containerization technologies (Docker, Kubernetes) and virtualization platforms NVIDIA’s deep learning platforms have made major impact to various fields is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate, hard-working and creative people to help us take on more of these unique opportunities in deep learning cloud solutions. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until February 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Manage end-to-end lifecycle of silicon projects, optimize workflows, and coordinate cross-functional teams for successful tape-outs. | Requires 8+ years in semiconductor design, VLSI, and project management, with proficiency in Python and Smartsheet. | NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. 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 looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. We serve as the central program management function for NVIDIA’s VLSI Engineering organization, providing the structure and insight needed to deliver world-class silicon. We align roadmaps across all silicon product lines, enabling technical leads to focus on engineering while we accelerate end-to-end execution. Through the integration of domain-specific workflows and intelligent infrastructure, we deliver automated schedule tracking, resource planning, and program health visibility across the full lifecycle—from Arch/RTL handoff through silicon bring-up and productization. We are seeking a Senior Technical Program Manager to lead the end-to-end lifecycle for the Circuit Solutions Group (CSG), spanning pre- and post-silicon execution. What You'll be Doing: As a Senior TPM, you will bridge the gap between architectural concepts and physical silicon. Your mission is to accelerate tape-out cycles by optimizing engineering workflow schedules and to track Closed-Loop Validation Drive the "Arch-to-Silicon" lifecycle, developing high-fidelity schedules and handling complex dependencies across design, verification, physical implementation and tape-out validation Act as the primary strategic liaison between CSG and cross-functional partners, including VLSI, Architecture, ASIC, Operations and Systems Participate in key design reviews and handle the change control process to ensure scope changes are balanced against schedule impacts. Lead Closed-Loop Validation schedules by systematically comparing silicon results against simulation assumptions to refine future model accuracy. Orchestrate post-silicon test plans, ensuring comprehensive coverage of architectural requirements, PVT corners, and critical corner cases Build expert-level Smartsheet dashboards to provide real-time insight into program health, test plan progress, and prioritization for executive team. Drive operational excellence by codifying procedures and employing Python to automate the ingestion of lab data into project management tools. What We Need to See: BS in Electrical Engineering, Computer Engineering, or a related field or equivalent experience (Masters preferred) 8+ years of TPM experience with a focus on Semiconductor Design and the full ASIC/SoC lifecycle. Strong technical fluency in VLSI, specifically regarding design cycle, silicon validation and correlation Ability to align different teams on a unified execution path and influence technical trade-offs. Demonstrate critical thinking with the ability to synthesize complex technical data into actionable project plans. Outstanding negotiation and presentation skills; ability to influence senior engineering staff without direct authority. Expert-level Smartsheet proficiency is required, including advanced automation and visual dashboarding. Ways to stand out from the crowd: Direct background in circuit design or hardware validation. Proficiency in Python to automate data-driven project management tasks. Experience running projects in cutting-edge process nodes. NVIDIA offers highly competitive salaries and a comprehensive benefits package. 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 growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until February 16, 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Manage the AI networking ecosystem from strategy to market, defining use cases, requirements, and collaborating with partners. | Experience in software, cloud infrastructure, open-source lifecycle, and product management in a large organization. | NVIDIA’s rapidly expanding Datacenter Ethernet Business is seeking a capable Senior Product Manager. This individual should be comfortable delving into technical specifics to guide and expand our Spectrum X AI networking portfolio. As a Product Manager, you'll influence NVIDIA's future Spectrum X AI networking systems, working closely with engineering, operations, sales, and marketing teams to oversee every product stage from inception to end-of-life. 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 creative and autonomous? Do you love a challenge? If so, we want to hear from you. Come, join our Datacenter communication Infrastructure team and help us build the scalable communication platforms driving our success in this dynamic and quickly growing field. What you’ll be doing: Managing an AI networking ecosystem platform through the complete life cycle from business strategy to R&D tradeoffs to go-to-market for groundbreaking products in this marketplace. Defining use cases, examples, and tools to craft and convey the product value proposition and position to a variety of audiences, ranging from the technically savvy to executives. Collecting requirements to define future products, including competitive analysis and customer feedback. Working closely with partners to ensure products get to market on time and to understand customer use cases and workflows. What we need to see: BS/MS in engineering or equivalent experience. Experience with cloud infrastructure technology 8+ years of software experience in the data center Networking Industry Expertise in Open-source development process and lifecycle management Self-starter, with a 'can-do' attitude and ability to multitask and prioritize in a fast paced environment. Experience in Product Management in large global organization; as people manager and as an individual contributor. Great balance of deep systems software with business knowledge. Strong analytical, marketing and project management skills. Excellent communication and presentation abilities. Excellent interpersonal skills, peer networking and team play with colleagues and customers. Ways to stand out from the crowd: Strong Background in modern Data Center networking, including groundbreaking AI techniques for Network Telemetry and Automation. Experience with deep learning, data science, and NVIDIA GPUs. Successful management of technical products throughout their lifecycle. Love technology and passionate about what you do. 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 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until February 16, 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Lead end-to-end account strategy for NVIDIA's RTX in aerospace and defense, building executive relationships and driving technical adoption. | Over 12 years in enterprise IT, technical sales supporting aerospace organizations, with experience in AI, modeling, and simulation, and a track record of managing large, strategic deals. | 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’re looking for a proven strategic leader to drive NVIDIA’s growth with RTX. This role blends executive relationship‑building, enterprise selling, and deep technical collaboration, helping one of our most important customers push the boundaries of simulation, AI, and accelerated computing. You’ll work across programs that shape next‑generation government and aerospace systems, guided by NVIDIA’s one‑team, innovation‑first culture. What You’ll Be Doing: Lead the end‑to‑end account strategy for RTX, focusing on modeling & simulation, CAE/CFD, sensor processing, AI/ML, and physical AI workflows. Developing strong executive relationships while engaging deeply with engineers, architects, and developers to understand challenges and identify performance‑enhancing opportunities. Identify integration opportunities for NVIDIA’s libraries and SDKs (CUDA, Triton, TensorRT, cuSignal, NeMo, Omniverse) to accelerate key workloads. Champion adoption of NVIDIA technologies—guiding evaluations, POCs, design decisions, and scale‑out phases. Implement NVIDIA’s ecosystem‑led GTM, aligning ISVs, CSPs, and OEMs to speed up prototyping, deployment, and customer outcomes. Collaborate with NVIDIA solution architects, product, engineering, and partner teams with a low ego, one‑team approach. What We Need To See: 12+ years in enterprise IT account management, technical sales, or business development supporting engineering‑focused aerospace organizations, with direct experience working with RTX/Raytheon. Bachelor's degree or equivalent experience. Consistent record leading complex, multi‑year strategic deals with very large revenue targets and enterprise‑wide impact. Experience in AI, ML, or accelerated computing, ideally applied to defense, aerospace, or critical systems. Understanding of one or more: modeling and simulation, high‑performance CAE/CFD or digital engineering workflows; sensor and signal processing; physical AI concepts. Strong ability to articulate technical value and translate AI‑driven or accelerated solutions into measurable customer outcomes. Strong engagement history working with ISVs, CSPs, and OEMs in a multi‑party GTM motion. Excellent time management skills, attention to detail and ability to handle competing priorities. Ways to Stand Out from the Crowd: Extensive experience supporting major FSIs, especially RTX, with established relationships across engineering and program teams. Security Clearance, or ability to be cleared up to TS/SCI+. Hands‑on familiarity with NVIDIA’s accelerated software and hardware stack. Track record of driving modernization or digital engineering initiatives. Strong alignment with NVIDIA values: humble, innovative, collaborative, one‑team, fail‑fast, always learning. 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 cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until February 16, 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Lead the design and development of ML models and digital twins for engineering applications, collaborating with partners and translating research into products. | Requires a Ph.D. in a related field, 15+ years in computational engineering with research experience, and leadership in product development teams. | At NVIDIA, we’re solving the world’s most exciting problems with our unique approach to accelerated computing. We’re looking for passionate technologists with deep expertise in AI physics to build and lead a team working on AI surrogate modeling and digital twin development for engineering applications. As an Applied Research leader you'll lead our technical path-finding efforts in this area, working with cross functional teams in Product, Engineering and Research to develop innovative technologies that intercept NVIDIA products and advance the state of industrial and computational engineering across domains from automotive and aerospace to semi-conductor and manufacturing for fluids, structures and multi-physics problems. We are looking for individuals who are comfortable sitting between fundamental research and engineering. A proven, creative, and independent leader with exceptional technical skills. Do you have the rare blend of both technical and product skills with a passion for groundbreaking technology? If so, we would love to learn more about you! What you'll be doing: Lead the design and development of new ML models and architectures as well as optimize existing ones specifically tailored for domains such as CFD, FEA, EDA/Semi. Lead the design and development of robust digital twins for computational engineering applications. Work with academic and industrial partners to curate new and existing datasets to aid model development. Research and implement robust methods for validation & verification (V&V), benchmarking and uncertainty quantification (UQ), to ensure models are trusted for critical industrial engineering tasks. Collaborate with external partners (ISVs, startups and academic institution) and where appropriate, publish work at top conferences (NeurIPS, ICML, ICLR), journals (Nature, JFM, Computers & Fluids) and third-party conferences and workshops. Lead technology transfer, turning research into robust products. What We Need To See: Ph.D. in Physics, Computer Science, Chemistry, Applied Mathematics, or related engineering field (or equivalent experience). 15+ overall years of experience in Computational Engineering with significant research and development experience at the intersection of AI and Computational Engineering. 7+ years' experience growing and leading product development teams in large enterprise organizations. Strong software engineering skills, with expertise in large scale high-performance computing (HPC) environments for engineering simulation and AI training. World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences. Ways To Stand Out From The Crowd: Experience with NVIDIA PhysicsNeMo and with NVIDIA Omniverse. Experience working with industrial CFD/FEA data formats (STL, HDF5, VTK) and building complex data pipelines. A strong portfolio of open-source contributions or effective technical communication (blogs, tutorials). Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 384,000 USD - 575,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until February 16, 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Support and develop release management pipelines for firmware and software, including automation, troubleshooting, and documentation. | Requires 5+ years in software/firmware release management, strong Python skills, experience with CI/CD, containerization, and source control. | Job Description: • Collaborate with firmware, hardware, software, and QA teams to gather requirements and help deliver quality firmware and software release solutions. • Support the ingestion and packaging of software and firmware binaries to prepare them for deployment across various platforms • Build, develop and maintain tools and infrastructure for software and firmware release lifecycle. • Implement automation pipelines and assist with system tools like Jenkins, Docker, and Kubernetes. • Pipelines should build, test and deploy software and firmware artifacts. • Documentation of release notes and effective communication to internal and external collaborators • Troubleshoot and debug software and firmware packaging and deployment processes. • Providing tested releases of software and firmware to partners. • Document processes and contribute to team discussions to improve firmware release workflows. Requirements: • BS or MS in Computer Science, Computer Engineering, or a related field (or equivalent experience) with 5+ years of relevant software and firmware release management experience. • Strong programming skills in Python. • Hands-on experience using CI/CD tools like Jenkins, GitLab CI, or similar. • Familiarity with containerization and orchestration (Docker, Kubernetes). • Proven understanding of source control (Git) and agile development workflows • Passion for automation, scalable software, and continuous learning • Strong problem-solving skills and attention to software quality and maintainability. Benefits: • equity • benefits

Design, develop, test, and optimize software for next-generation SoCs, focusing on performance and architecture analysis. | Extensive experience in system software, performance analysis, multicore hardware, and ARM architecture, with proven leadership in complex projects. | 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 tightly coupled CPU, GPU and DPU technology 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! NVIDIA is searching for a highly motivated, technical engineer to join the Tegra system-on-chip (SoC) software organization. You will work on key aspects of our ARM SW ecosystem and system software architecture. With a targeted charter to enable best-in-class datacenter-scale performance and efficiency for our next generation of datacenter products, including CPUs and CPU+GPU Superchips. What you will be doing: • Design, develop, test, and optimize software for our next-generation SoCs. In both pre-silicon and post-silicon phases of execution. • Review architectural performance bottlenecks for various system wide work loads. Identify HW/SW policies to drive performance and performance/watt leadership. • Using strong communication skills, build and drive architecture, analysis documents and communications to internal and/or external audiences about our technology. • Competitive analysis comparing uArchitecture & workload performance metrics on NVIDIA's ARM SoCs against emerging processors from other silicon vendors. • Influence and drive full-stack adoption of performance optimizations and best practices across NVIDIA SW products & OSS SDKs What we need to see: • BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience). • 6+ years of relevant computer architecture or SW development experience. • Proven leadership skills and strong ownership on past projects. • Hands on technical experience and demonstrated excellence in an environment with complex software and hardware designs. • Strong understanding of multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers and real-time programming. • Strong stills in performance analysis, data analysis and performance optimization. Ways to stand out from the crowd: • Deep expertise in ARM architecture and SW ecosystem. • Proficient in analyzing, debugging and tuning performance of complex system software stacks. • Experience with CPU server system workloads and performance analysis. • Familiarity with CUDA programming and/or GPUs. • Experience with HPC or large-scale computing environments. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 January 13, 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.

Lead design-for-test engineering programs for next-generation silicon chips, ensuring timely delivery, risk mitigation, and process improvements. | Extensive experience in semiconductor program management, ASIC/SoC design, verification, and automation, with strong communication skills. | Our technology has no boundaries! NVIDIA is building the world's most groundbreaking and state of the art compute platforms for the world to use. It's because of our work that scientists, researchers and engineers can advance their ideas. At its core, our visual computing technology not only enables an amazing computing experience, but it is also energy efficient! We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers. We seek a Senior Technical Program Manager to lead Design-for-Test (DFX) engineering programs for our next-generation chip designs. This role sits at the intersection of silicon design, bring-up, and manufacturing test, driving product quality and scalability innovation. You'll own the full program lifecycle from pre-silicon through release, ensuring flawless execution, efficiency, and predictability across teams. Combining strong technical depth with program leadership will help accelerate tape-out cycles and optimize testability across NVIDIA's cutting-edge silicon programs. It's not just technology though! It is our people, some of the brightest in the world, and our diverse company culture make NVIDIA one of the most fun, innovative and dynamic places to work in the world! At the center of NVIDIA's culture are our core values like innovation, excellence and determination and team, that guide us to be the best we can be. What You'll Be Doing: • Drive DFX program execution from pre-silicon through product release, ensuring timely delivery and alignment across development, verification, test, and operations. • Develop detailed project schedules and workflows, coordinating milestones, dependencies, and scope changes. • Partner with engineering and CAD teams to automate tracking, reporting, and data integration, improving transparency and efficiency. • Identify and mitigate technical or schedule risks early, providing clear, data-driven updates to leadership. • Gather lessons learned and standardize best practices to strengthen future programs. What We Need to See: • BS/MS in Electrical or Computer Engineering (or equivalent experience). • 8+ years of experience in semiconductor program management or engineering leadership. • Strong understanding of ASIC/SoC design, verification, bring-up, and productization flows (RTL-to-release). • Experience programming in Python and automating workflows • Strong communication and interpersonal abilities; flourishes in fast-paced, multi-functional atmospheres. Ways to Stand Out from the crowd: • Background in DFX, DFT, or datacenter-class silicon testability. • Experience with EDA tool data analytics, APIs, or dashboards for program management. • Consistent track record of implementing automation or process improvements at scale. At NVIDIA, you'll collaborate with individuals who consistently exhibit outstanding problem-solving skills, contributing to the advancement of accelerated computing. You'll lead programs directly impacting GPU and SoC innovation-transforming how silicon is designed, validated, and delivered at scale. If you thrive at the intersection of engineering excellence, automation, and execution leadership, we want to hear from you. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until February 15, 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.

Design and optimize GPU and system architectures for AI inference performance, analyze hardware-software relationships, and collaborate on AI development. | Requires advanced degrees and extensive experience in computer architecture, GPU computing, and performance modeling, with programming skills in C, C++, and Python. | We are now looking for a Senior Deep Learning Performance Architect! NVIDIA seeks a Senior DL Performance Architect to join our group of pioneers who enjoy pushing AI Inference performance boundaries. Our team focuses on ambitious hardware-software co-design to speed AI Inference workloads. This role gives an outstanding opportunity to develop world-class performance strategies, guide future GPU architecture decisions, and lead AI innovation. If you are passionate about AI efficiency Pareto curves, have a proven record of modeling LLM performance and architecting AI systems, and enjoy optimizing every cycle, this role may be perfect for you! What you'll be doing: Design novel GPU and system architectures to advance the forefront of AI Inference performance and efficiency Construct, investigate, and test popular deep learning algorithms and applications Understand and analyze the relationship between hardware and software architectures as it influences future algorithms and applications Build efficient power and performance models of AI inference stack, while capturing minimal but significant information to guide next-gen HW architecture Collaborate across the company to guide the direction of AI, working with software, research, and product teams What we need to see: A MS or PhD in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of relevant experience Strong mathematical foundation in machine learning and deep learning Expert programming skills in C, C++, and/or Python Familiarity with GPU computing (CUDA or similar) and HPC (MPI, OpenMP) stack Strong knowledge and coursework in computer architecture Ways to stand out from the crowd: Background with systems-level performance modeling, profiling, and analysis Experience in characterizing and modeling system-level performance, accomplishing comparison studies, and documenting and publishing results Background in improving AI Inference workloads by developing CUDA kernels or compilers for custom ASIC hardware #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until February 14, 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Developing a highly optimized inference framework for large-scale supercomputers and data centers. | Requires 6+ years in C++/C/Rust, Linux internals, and high-performance computing experience, which the candidate does not possess. | We are looking for an enthusiastic software engineer to join our AI networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, GPU Kernels and RDMA network cards. Our product is a performance-oriented low-level infrastructure, crafted to change the way inference works. We thrive as a team in a deeply strong environment, and we're passionate about innovation. The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play. What you'll be doing: Developing a highly optimized inference framework Running on the world’s largest supercomputers and data centers. The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features. What we need to see: B.Sc. or equivalent experience in Computer Science or Software Engineering 6+ years of experience in modern C++ / C / Rust development 3 years of experience in Linux environment and familiarity with development tools Deep knowledge of the TCP/IP network stack Understanding of computer architecture and operating systems concepts Ways to stand out from the crowd: Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning) Experience in programming CUDA kernels is an advantage Familiarity with ML frameworks and LLMs Background in parallel programming / high-performance computing / RDMA technology 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. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services 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 February 14, 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.