NVIDIA

Manage and expand partner programs, oversee partner lifecycle, and coordinate cross-functional launches. | Over 8 years in program or operations management, with experience in tech or startup environments, and proficiency with CRM and project management tools. | 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. Are you passionate about the startup ecosystem and excel in a fast-paced setting where decisions are driven by data and strategic relationship building? NVIDIA is seeking an experienced and purposeful Senior Program Manager to direct the execution and expansion of our Inception and Connect third-party benefits program. Join our team and enable a global network of over 35,000 startups and our leading ecosystem of partners. This is an outstanding opportunity to lead all aspects of the partner lifecycle, from onboarding high-impact partners to monitoring the measurable adoption of NVIDIA technologies. What you'll be doing: Build and scale the Offer Partner Program, enhancing existing offers, and expanding the program to bring relevant new offers to the Inception and Connect programs. Lead the strategic execution across NCPs, CSPs, and startup/ISV partners. This includes qualification, approvals, and performance tracking. Manage the end-to-end partner lifecycle: Define and track important metrics for offer quality and utilization, monitor churn risks, conduct performance reviews, and drive renewal or sunsetting decisions. Drive operational excellence in onboarding: Own and streamline the partner onboarding process—including form intake, legal validation, and asset collection—to accelerate time-to-launch and improve partner happiness. Instrument data-sharing and reporting: Implement frameworks across NVIDIA and external partners to enable referrals and report on funnel health, benefit utilization, and technology adoption insights. Coordinate cross-functional launches: Lead quarterly benefit publishing cycles, collaborating with Legal, Marketing, and Systems/Salesforce teams to maintain a steady beat of new member value. What we need to see: 8+ years of experience in program management, project management, or operations, preferably within a startup or high-growth technology environment. BS in Computer Science, Engineering, Business, or a related field (or equivalent experience). Ecosystem Knowledge: A deep passion for the AI startup landscape and a firm understanding of how cloud partnerships (CSPs/NCPs) drive developer offtake. Operational Mastery: Demonstrated experience managing complex, cross-functional projects and building systems that standardize inefficient processes. Communication Skills: Outstanding written and verbal communication skills; a strong listener who can translate ambiguous business needs into concrete technical actions. Collaborator Management: Proven ability to influence internal teams and lead external-facing partner engagements with integrity and tact. Technical Tooling: Proficiency with CRM and project management tools, specifically Salesforce Sales Cloud and Jira (or similar platforms). Ways to stand out from the crowd: Strategic Vision: A clear perspective on startup needs. AI for Operations: Hands-on experience using AI or automation tools to streamline internal workflows and program operations. Data Architecture: Experience building or managing third-party data-sharing processes and systems that bridge disparate partner ecosystems. 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 128,000 USD - 212,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 2, 2026. 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 full-stack solutions, API integration, and data processing pipelines. | Experience with full-stack development, API design, cloud services, and data architecture; no mention of C++, Verilog, ASIC design, or RTL. | About the position NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing! NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to 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. The NVIDIA Clocks group is looking for a dedicated and motivated Software developer with particular interest in algorithms and RTL Design. Understanding both Software and Hardware principles will be a key requirement for this role. Responsibilities • Architect, design, develop and support tools for RTL generation across all NVIDIA products • Architect automated workflows for supporting deliverables to multiple cross functional teams • Improve algorithms (in C++) for automated connectivity, auto logic insertion and post processing Verilog RTL • Improve quality of existing tools and flows used by the team Requirements • BS or MS (preferred) degree or equivalent experience in CE or EE • At least 3+ years of work experience • Strong coding skills in C++ • Good understanding of ASIC Design and understanding of Verilog RTL • Strong interpersonal and collaboration skills. Nice-to-haves • Prior experience in RTL design (Verilog), verification and synthesis. • Proficiency in C++, Perl, Python, Make scripting. • Knowledge of Clocks/Resets design and verification

Developing full-stack solutions, API integration, and data processing pipelines. | Senior software engineering experience with TypeScript, React, Node.js, API development, and cloud experience; familiarity with data analytics and automation. | About the position 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. We seek an Senior Python Engineer to join our Ethernet Switch SONiC Network OS. As a Python Engineer at NVIDIA, you will have to work closely with NVIDIA’s development and architecture teams responsible for SONiC Network OS and gain a deep understanding of NVIDIA products and technologies. Responsibilities • Participate in an international team of software engineers working on products for testing NVIDIA products • Design and implement robust, maintainable, and efficient automation test suite • Work with Continuous integration systems and regression tools, automate builds, and test suites, generate test reports, isolate and classify failures and review new degradation. • Innovate! Bring SONiC NOS to shine in customer's view Requirements • B.Sc. degree or equivalent experience in Engineering/Computer Science/related field • 5+ years of experience as a Software Engineer • Intrinsically motivated with a desire for automation programming • Strong programming skills in Python • Strong technical abilities, problem-solving skills, coding, and design skills • Ability to lead feature development, take full ownership and deliver independently • Linux knowledge: have a general understanding of Linux operation system concepts Nice-to-haves • Proven experience in a leadership role, with a track record of successfully leading scrums and projects • Strong communication and interpersonal skills, with the ability to motivate and inspire others. • Knowledge in one or more Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols • Prior software testing experience, with an understanding of Software Testing Tools and Methodologies, and python expertise.

Lead and manage large-scale datacenter and networking programs with global teams and CSPs. | Over 8 years of experience in program management, strong networking knowledge, and experience with large-scale datacenter projects. | NVIDIA pioneered accelerated computing to address challenges no one else can solve. Our work in AI is redefining the world's largest industries and profoundly impacting our society. AI requires purpose-built infrastructure, AI factories. AI infrastructure platform that integrates seven chips, each contributing to performance at data center-scale. NVIDIA has the scale and ability to update the entire AI infrastructure on a One Year Rhythm as we can engineer and optimize across the full stack and the entire infrastructure. As part of the Customer Program Management Team, you will be leading strategic technical programs with Cloud Service Providers (CSPs), driving the deployment of NVIDIA’s AI infrastructure—such as the revolutionary NVIDIA GB300 NVL72 platform, which integrates NVIDIA’s GPUs, CPUs and Networking platforms to deliver unmatched data center-scale performance. What you'll be doing: • Drive the hands-on technical engagement with CSPs and their ODM/OEMs. • Incorporate datacenter tools and operationalize protocols for AI factory development. Resolve any issues and keep the project on track. • Lead execution and technical engagement directly working with CSP's networking teams. • Assemble and guide cross-functional teams, ensuring alignment and execution excellence. • Integrate datacenter tools and operationalize processes for network buildout and operations. • Work closely with core engineering team and enterprise support teams to provide resolutions to the customer in timely manner. • Working close with Solution Architecture team to provide technical direction on standard networking methodologies and operational excellence. • Develop and manage networking software delivery timelines, aligning to the different accelerated computing programs. • Ensure timely delivery of customer-specific features and production deployment. • Communicate program status, risks, and insights to senior management. What we need to see: • 8+ years of experience in program/project management with direct customer engagement. • Strong leadership in global, matrixed environments. • Bachelor’s degree or equivalent experience in Computer Science, Engineering, or related field. • Solid track record of successfully managing sophisticated, large-scale datacenter projects. • Continue learning new knowledge and rapidly growing capabilities as NVIDIA ventures into new markets. Ways to stand out from the crowd: • Leading technical programs, engaging directly with one or more CSPs as your customer. • At least 8 years of professional experience in networking fundamentals, TCP/IP stack, InfiniBand fundamentals and data center architecture • Strong cross-functional collaboration across globally distributed teams. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking, resilient, and hardworking people in the world. 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 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 17, 2025.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 high-performance data storage and IO solutions, optimizing system performance, and collaborating with research teams. | Extensive experience in C++, CUDA, Linux internals, storage systems, and advanced computer architecture, with 7+ years of coding experience. | 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 inquisitive people in the world. Join us at the forefront of technological advancement. What you’ll be doing: • Work on first solutions in the industry that bring exceptional performance and security improvements to the infrastructure used by leading applications. • Develop new features and enable various technologies around data storage for GPU IO. • Develop advanced C++/CUDA libraries and algorithms for speed-of-light performance • Remove performance bottlenecks by coming up with optimization(s) in the IO stack, frameworks, and applications. • Work collaboratively with other specialists including the research teams and be willing to take on complex engineering tasks that progress towards the goals of the team and the company. What we need to see: • Good knowledge of Linux kernel internals, Filesystem, Object storage systems, Databases, Vector Databases • Good understanding of NVMe and related technologies • Development experience in Cloud, Virtualization (VMware, KVM), Container technologies. • Advanced knowledge in Computer Architecture • Solid understanding in data structures and algorithms • Bash and Python experience • Excellent communication and planning skills. • BS or MS or PhD in computer science or a related field or equivalent experience. • 7+ years of strong coding experience using C, C++, Rust, Python Ways to stand out from the crowd: • Development experience in storage software such as Key-Value, File systems object storage systems, Vector Databases • Internals of frameworks like PyTorch, JAX • Exceptional CUDA programming skills. Exceptional C++ programming skills NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 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 December 22, 2025.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.

Develop and optimize compute infrastructure for large-scale AI models and robotics research. | Requires 5+ years in AI infrastructure, experience with ML frameworks, Kubernetes, Ray, GPU programming, and high-performance languages. | We are seeking a Senior Software Engineer to join a new team building the foundational infrastructure for Robotics Research. This new team will work very closely with NVIDIA’s Generalist Embodied Agent Research (GEAR) group. The near term focus is Project GR00T, NVIDIA’s moonshot initiative at building foundation models and full-stack technology for humanoid robots. This particular position will focus on compute infrastructure. You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation. Your contributions will have a significant impact on our research projects and product roadmaps. What you’ll be doing: • Develop mechanisms to launch and manage large compute jobs to support multi-modal foundation models for robotics. These will include data jobs, training jobs, evaluation jobs, and so forth. • Optimize GPU and cluster utilization for efficient model training, fine-tuning, and evaluation on massive datasets. • Develop robust observability tools and procedures for this compute infrastructure to ensure reliability and performance. • Collaborate with researchers to integrate innovative compute technologies into scalable training and eval pipelines. What we need to see: • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience • 5+ years of full-time industry experience in large-scale MLOps and AI infrastructure • Experience with ML frameworks like PyTorch, JAX, or TensorFlow. • Deep understanding of Kubernetes, experience with Ray • Experience with data frameworks and standards like SQL, Apache Spark, LanceDB • Experience of GPU acceleration and CUDA programming • Strong programming skills in Python and a high-performance language such as C++ for efficient system development. Ways to stand out from the crowd: • Master’s or PhD’s degree in Computer Science, Robotics, Engineering, or a related field • Demonstrated Tech Lead experience, coordinating a team of engineers and driving projects from conception to deployment • Deep background at building and operating large-scale data infrastructure • Strong experience and curiosity in frontier AI research NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and large-scale foundation models! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 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 October 12, 2025.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.

Work on scalable GPU clusters for AI workloads, focusing on scheduling, monitoring, and reliability of AI infrastructure. | 5+ years in a technical role with experience in large-scale production systems, Kubernetes, and systems programming. | NVIDIA is hiring experienced software engineers with kubernetes experience to help scale up its AI Infrastructure. We expect you to have significant software engineering experience with kubernetes including cluster operations, operator development, node health monitoring and working with GPU resource scheduling. We welcome out-of-the-box thinkers who can provide new ideas with strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications. If you're creative, passionate about kubernetes and GPUs, and love having fun, please apply today! For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. What you will be doing: • You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. This includes working on custom software related to scheduling GPU resources on kubernetes. • Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry. • Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance. Evaluating system failures and improving services based on a well-defined incident management process. What we need to see: • Direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work. Software development experience with kubernetes APIs and frameworks not just operating a cluster. • Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies. • 5+ years in similar role and experience on large-scale production systems. Experience with common software engineering principles, tools and techniques. • You possess a BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience. • Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms. Ways to stand out from the crowd: • Technical competency in managing and automating large-scale distributed systems independent of cloud providers. Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Bright Cluster Manager) • Proven operational excellence in maintaining reliable and performant AI infrastructure. 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! 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 - 270,250 USD for Level 4, and 208,000 USD - 333,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 21, 2025.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 full-stack solutions, leading API development, and managing CI/CD pipelines. | Extensive experience in full-stack development, API integration, cloud services, and agile practices, with no ASIC or hardware design experience. | NVIDIA is looking for a Senior Reset and Boot ASIC Engineer to join our System ASIC team! 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. With the System-ASIC team, you will contribute to designing multiple products that will be used in a variety of applications from consumer graphics to self-driving cars and the growing field of artificial intelligence. System-ASIC team works closely with System Architecture team on product definitions, implements new innovative flows to improve our chip yield and to address multiple sectors, defines Reset and Boot Architecture and implements them in complex GPU and Tegra chips. The team is also handling the architecture, design, and synthesis of multiple System-level modules. What You’ll Be Doing • Be an integral part of the System ASIC Design team to help with the Micro-architecture definition for system-level functions, including Reset and Boot. • Collaborate with architects, ASIC designers, and verification engineers to design sophisticated system-level modules such as Floorsweep, In-silicon measurement, Reset and Boot controllers. • You will be responsible for the RTL design, logic synthesis, and timing analysis of several modules. • Integrate modules into the overall SOC design and work closely with other teams in the silicon bring-up process and ensure successful SOC level integration. • You will also use your expertise to identify and implement improvements in the current design flow and methodologies to improve efficiency and quality. What We Need To See • BS / MS in Microelectronics/ Electronic Engineering/ Computer Science and related (or equivalent experience) • 5+ years of SoC design/integration experience, including architecture and implementation of system-level functions like Reset or Chip Boot • Solid frontend ASIC design skills, including RTL design, asynchronous and synchronous Reset design, synthesis, timing analysis, and Spyglass/CDC/RDC checks • Excellent analytical and problem-solving skills and attention to detail. Ways To Stand Out From The Crowd • Broad knowledge with GPU techniques, SOC architecture, Computer architecture, and ARM/RISC-V CPU • Experience with general interface protocols such as PCIE, CXL, UCIE, AMBA, and CHI • Familiar with OCP secure boot specification and physical security handling process • Possess design experience with cross-die/chipset communication in multi-dielet/chipset systems • Proficient in Perl/Python scripting 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 brilliant people in the world working for us and, due to unprecedented growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? 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 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 11, 2025.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. JR2005067

Support customers in building AI solutions with NVIDIA technologies, develop demos and POCs, and train partners. | Extensive experience in solution architecture or presales, with expertise in AI, GPU, and hardware deployments, plus strong programming skills. | NVIDIA is seeking outstanding Solutions Architects to assist and support customers who are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on Generative AI and Large Language Models. You should be comfortable working in a multifaceted environment and have experience with Generative AI, LLMs, Deep Learning, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team using the latest technologies at NVIDIA! What You Will Be Doing: • Collaborate with NVIDIAs OEM partners to define, document, and develop enterprise solutions that meet customer technical requirements and address business needs using Nvidia software stack. • Building custom product demonstrations and POCs for solutions that address the critical business needs of our customers • Training channel technologists on joint AI solution offerings from NVIDIA and OEM partners. • Work as a key member of our OEM team as a technical authority on NVIDIA products • Some travel to conferences and customers may be required What We Need To See: • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) • 8+ Years proven experience as a solution architect or technical presales role • Experience with Intel x86 and ARM architectures, networking, storage, and GPU solutions • Expert knowledge of theory and practice of AI workloads and HW deployments • Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts • Desire to be involved in multiple diverse and creative projects Ways To Stand Out From The Crowd: • Experience with NVIDIA GPUs and software libraries, such as NVIDIA NIM, NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM • Experience with large-scale cluster bring-up and operation. • Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design • Familiarity with parallel programming and distributed computing platforms • Experience building large-scale HW solutions for Enterprise computing workloads 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 are 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 October 17, 2025.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.

Implement and verify deep learning compiler features and components, including testing, benchmarking, and quality improvement. | Requires 3+ years in machine learning, experience with deep learning frameworks like PyTorch, and compiler verification experience, which are not present in your profile. | 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 building the next generation of compiler technologies to accelerate deep learning workloads. We are looking for an engineer to implement compiler verification software & related infrastructure in the AI space. You will be solving critical problems working alongside a diverse set of minds in GPU computing and systems software, doing what you enjoy. If this sounds like a fun challenge, we want to hear from you What You’ll Be Doing In this role you will work closely with compiler developers to verify new and state of the art deep learning related features and components including implementing and executing functional and performance testing and benchmarking software solutions. This would include authoring and reviewing verification plans, and implementing verification programs, scripts, and libraries. You will apply deep learning and other sophisticated techniques to implement compiler verification solutions. You will help identify potential or observed weaknesses in the current process, offer ideas for actions that can improve code coverage, and participate in quality initiatives and drive continuous improvement. What We Need To See • BS or MS in Computer Science, Computer/Electrical Engineering, Mathematics or related field (or equivalent experience) • 3+ years programming experience in Machine Learning domain, preferably using Python • Experience working with Deep Learning frameworks such as Pytorch, Scikit Learn, JAX/XLA or TensorRT • Focused, learn quickly, and have strong analytical skills with attention to detail. Strong troubleshooting and debugging skills. • Proven uses of creative thinking for solutions to exciting problems that matter. Ways To Stand Out From The Crowd • Experience with Large Language Models and application of deep learning to solve software engineering problems • Hands-on compiler development or verification experience • Knowledge of related programming languages and domains such as CUDA, Docker and GPU-Accelerated Cloud 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 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until December 26, 2025.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. JR2010484

Design and build scalable security services and automation tools for high-performance AI infrastructure. | Extensive experience in infrastructure security, software engineering, and distributed systems, with strong coding skills and security product integration expertise. | NVIDIA DGX Cloud is the AI supercomputing-as-a-service substrate designed to power the next generation of AI and industrial-scale breakthroughs. As a Security Engineer within our Infrastructure Security Engineering organization, you will not just help "secure" our platform—you will architect and build the foundational security primitives that protect massive-scale GPU clusters. You will design automated, resilient security systems that help ensure the integrity of our omni-cloud and on-premise AI infrastructure. We truly recognize that a candidate who checks every single box is simply rare. We aren't looking for a checkbox hire; we are looking for high-caliber engineers with deep spikes of expertise in a few of these areas and the intellectual curiosity to dive into the rest. If your experience aligns with the core of this role—building resilient security systems—and you can show us how, we want to hear from you! What You Will Be Doing: Security Engineering: Design, build, and integrate production-grade security services. You will focus on the engineering of security products—transforming third-party and open-source tools into seamless, API-driven components of the DGX Cloud security stack. Automated Policy Enforcement: Shift security "left" by developing Infrastructure as Code and Policy as Code to automate security enforcement and compliance at the speed of cloud-scale deployment. Orchestration Security & Guardrails: Architect and implement the security control plane. You will engineer automated guardrails, controllers, and runtime security policies that validate and enforce the integrity of tenant boundaries. Security-as-a-Service Approach: Designing and operating security services as a scalable platform. Building "self-service" security primitives (e.g., Identity-as-a-Service, automated secrets management, and real-time scanning APIs) that allow developer teams to move fast. Security Tooling & Lifecycle: Develop internal security frameworks and automated response systems. Responsible for the full software development lifecycle (SDLC) of the security tools, including testing, deployment, and maintenance. Threat Modeling & System Design: Conduct deep-dive threat models on complex distributed systems and the DGX Cloud stack, identifying architectural gaps in security and engineering the solutions to close them. Multi-Functional Collaboration: Partner with DGX Cloud platform teams, broader NVIDIA security teams, and product engineering to understand their needs and build paved paths that seamlessly embed security into the CI/CD pipeline and the hardware lifecycle. What We Need to See: Infrastructure Engineering: Bachelors degree or equivalent experience with 5+ years in SRE, Software Engineering, and Infrastructure Security. You focus on building systemic solutions rather than performing manual operations or "tool administration." Production-Grade Coding: A strong software engineering background with the ability to write clean, maintainable, and well-tested code. You should be comfortable building and maintaining production service at scale. Distributed Systems Expertise: Understanding of cloud-native architecture, container orchestration (Kubernetes), and the security challenges inherent in high-throughput, low-latency environments. Platformizing Security: Transform complex security requirements into consumable internal services. You will focus on the "Developer Experience" of security, ensuring that our infrastructure security controls are delivered as robust, API-first platforms that integrate seamlessly with NVIDIA’s internal engineering workflows. Security Product Integration: Proven track record of taking complex security products (AuthN/AuthZ, Vaulting, Scanning, IDS) and integrating them into an automated infrastructure via APIs and custom glue-code. Linux Internals: Strong hands-on experience with Linux systems security, including kernel-level primitives (eBPF, AppArmor, or SELinux). Ways To Stand Out from the Crowd: HPC/AI Security: Experience securing high-performance computing environments, RDMA-based networks, or GPU-specific security challenges. Cloud-Native Identity: Expertise in workload identity frameworks (e.g., SPIFFE/SPIRE) and hardware-root-of-trust (TPM/HSM) integration. Open Source Impact: Notable contributions to security-focused open-source projects or a track record of engineering-focused security research. How have you represented and helped advance the industry? 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 great people like you to help us accelerate the next wave of artificial intelligence. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 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 December 26, 2025. 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.

Implement compiler verification software and infrastructure in the AI domain, collaborating with developers and improving verification processes. | Requires 3+ years in machine learning, Python experience, and familiarity with deep learning frameworks like PyTorch or TensorFlow. | Job Description: • Implement compiler verification software & related infrastructure in the AI space • Work closely with compiler developers to verify new deep learning features and components • Author and review verification plans, implementing verification programs, scripts, and libraries • Identify weaknesses in current processes and suggest improvements for code coverage Requirements: • BS or MS in Computer Science, Computer/Electrical Engineering, Mathematics or related field (or equivalent experience) • 3+ years programming experience in Machine Learning domain, preferably using Python • Experience working with Deep Learning frameworks such as Pytorch, Scikit Learn, JAX/XLA or TensorRT • Strong troubleshooting and debugging skills • Proven uses of creative thinking for solutions to exciting problems that matter. Benefits: • Competitive salaries • Generous benefits package • Equity

Develop and maintain Linux-based OS images for NVIDIA platforms, collaborate with hardware and software teams, and sustain existing systems. | 5+ years of experience, proficiency in C and Python, familiarity with Linux distributions, and system-level debugging skills. | 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're looking to grow our company, and build our teams with the most resourceful people in the world. Join us at the forefront of technological advancement. What you'll be doing: NVIDIA BaseOS is the Linux distribution of the NVIDIA GPU based platforms deployed in AI, Data-Analytics, Autonomous vehicle industries. Your role as a Base OS Engineer is to develop the Ubuntu and RHEL based OS image flavors across platforms. Your role as a Base OS Engineer will also include sustaining the existing NVIDIA DGX and HGX systems. Work closely with System/Software development teams to build the common infrastructure for automation and use the latest industry standard tools! Work closely with Hardware and Firmware development teams to bring up new NVIDIA platforms, from power on to OS boot. What we need to see: BS or Masters in computer science, or related field or equivalent experience. 5+ years of experience. Excellent C and Python programming skills. Your expertise in coding is essential to your success in this role. Familiarity with at least one major Linux distro (Ubuntu, RedHat, SLES) is required. Experience creating your own Debian or RPM package and repository is highly desirable. Knowledge of OS concepts such as filesystems, job scheduling, device drivers, and storage, is required. Experience with complex system-level debugging is invaluable, from X/Wayland to systemd to analyzing crash dumps to install issues. Excellent communication and planning skills. Ways to stand out from the crowd: Knowledge of virtualization concepts such as device passthrough and SR-IOV. Background in PCIe, USB, and similar low level protocols is recommended. Experience with UEFI and BMC firmware is strongly favored. Basic knowledge of tools deploying Containers or Kubernetes technologies is preferred. Having written software in GitHub with exposure to opensource development life cycle is desired. 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! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 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 December 26, 2025. 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 operationalize security solutions in collaboration with platform teams, automate security pipelines, and improve security practices across the organization. | Requires 5+ years in software development or DevOps, experience with object-oriented languages like Python and Golang, cloud deployment, scalable systems, and Agile methodologies. | NVIDIA Product Security Team is seeking a passionate and innovative Software Development Engineer willing to join hands with the Security Engineering teams to engage directly with Platform Development teams to operationalize common security solutions in their disparate environments. We build several security platforms and integrating third party solutions to catalog NVIDIA programs, detect vulnerabilities, drive remediation response, securely deploy into our cloud environments, and innovate to meet the scale and demand of all of NVIDIA’s product teams. We are driven to provide key security solutions for our organization. What you will be doing: • You will work within various Platform Develop teams to standup automated security scanning, analysis, and signing pipelines, act as intermediary and guide to teams on security requirements, and blessed and pre-vetted solutions based on which build system and repository, pipelines the product is using. • Advocate bringing team's unique requirements back to our Security Engineering teams improving our platforms and services and will develop the overall security playbook for those teams to empower them for their future secure development. This is an opportunity to engage groundbreaking technology as part of your day-to-day development. • A successful candidate is one who loves working directly with software developers to understand their needs, and design security systems and solutions that enable developers to operate more effectively. This is a great opportunity to have broad company impact, grow connections across the entire company and delivers high insight to leadership. What we need to see: • Bachelor’s degree in Computer Science, Information Security, SecDevOps or equivalent experience. • 5+ years working in a software development or developer operations role • 5+ years of confirmed software design or development operations capabilities in build or standup of end to end applications, infrastructure, and automation frameworks at large scale. • Experience implementing object-oriented languages for a distributed environment – (Python and Golang) • Experience working with RESTful APIs • Background with designing reports from scalable databases or datastores (MySQL, noSQL db or equivalent SQL technology) • Experience deploying to cloud technologies/infrastructure • Experience with scalable, available, and low-latency systems (Kubernetes and Docker) • Knowledge of professional software engineering practices & standard methodologies for the software development process, including documentation and task management, coding standards, code reviews, source control management, build processes, testing, operations, and generation of critical metrics. • Background with working in an Agile SDLC Ways to stand out from the crowd: • Understanding of Dependency Managers • Experience in integration of solutions in build pipelines • Knowledge of vulnerability reporting through CVE Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 24, 2025. 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. Required skills: MYSQL, NoSQL, Python, Software Development, SQL, Docker, Kubernetes, Cloud technologies, Software Design, Code Reviews, Source Control Management, RESTful APIs Required languages: English

Developing full-stack solutions, leading API and backend development, and implementing scalable data processing pipelines. | Extensive experience in software development, API design, cloud deployment, and familiarity with security and automation frameworks. | NVIDIA Product Security Team is seeking a passionate and innovative Software Development Engineer willing to join hands with the Security Engineering teams to engage directly with Platform Development teams to operationalize common security solutions in their disparate environments. We build several security platforms and integrating third party solutions to catalog NVIDIA programs, detect vulnerabilities, drive remediation response, securely deploy into our cloud environments, and innovate to meet the scale and demand of all of NVIDIA’s product teams. We are driven to provide key security solutions for our organization. What you will be doing: You will work within various Platform Develop teams to standup automated security scanning, analysis, and signing pipelines, act as intermediary and guide to teams on security requirements, and blessed and pre-vetted solutions based on which build system and repository, pipelines the product is using. Advocate bringing team's unique requirements back to our Security Engineering teams improving our platforms and services and will develop the overall security playbook for those teams to empower them for their future secure development. This is an opportunity to engage groundbreaking technology as part of your day-to-day development. A successful candidate is one who loves working directly with software developers to understand their needs, and design security systems and solutions that enable developers to operate more effectively. This is a great opportunity to have broad company impact, grow connections across the entire company and delivers high insight to leadership. What we need to see: Bachelor’s degree in Computer Science, Information Security, SecDevOps or equivalent experience. 5+ years working in a software development or developer operations role 5+ years of confirmed software design or development operations capabilities in build or standup of end to end applications, infrastructure, and automation frameworks at large scale. Experience implementing object-oriented languages for a distributed environment – (Python and Golang) Experience working with RESTful APIs Background with designing reports from scalable databases or datastores (MySQL, noSQL db or equivalent SQL technology) Experience deploying to cloud technologies/infrastructure Experience with scalable, available, and low-latency systems (Kubernetes and Docker) Knowledge of professional software engineering practices & standard methodologies for the software development process, including documentation and task management, coding standards, code reviews, source control management, build processes, testing, operations, and generation of critical metrics. Background with working in an Agile SDLC Ways to stand out from the crowd: Understanding of Dependency Managers Experience in integration of solutions in build pipelines Knowledge of vulnerability reporting through CVE Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 24, 2025. 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.

Collaborate with partners to develop enterprise AI solutions, build demos and POCs, and train technologists on NVIDIA AI products. | 8+ years experience as a solution architect or presales, with expertise in AI, GPU hardware, and related technologies, and a relevant degree or equivalent experience. | NVIDIA is seeking outstanding Solutions Architects to assist and support customers who are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on Generative AI and Large Language Models. You should be comfortable working in a multifaceted environment and have experience with Generative AI, LLMs, Deep Learning, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team using the latest technologies at NVIDIA! What You Will Be Doing • Collaborate with NVIDIAs OEM partners to define, document, and develop enterprise solutions that meet customer technical requirements and address business needs. • Building custom product demonstrations and POCs for solutions that address the critical business needs of our customers • Training channel technologists on joint AI solution offerings from NVIDIA and OEM partners. • Work as a key member of our OEM team as a technical authority on NVIDIA products • Some travel to conferences and customers may be required What We Need To See • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) • 8+ Years proven experience as a solution architect or technical presales role • Experience with Intel x86 and ARM architectures, networking, storage, and GPU solutions • Expert knowledge of theory and practice of AI workloads and HW deployments • Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts • Desire to be involved in multiple diverse and creative projects Ways To Stand Out From The Crowd • Experience with NVIDIA GPUs and software libraries, such as NVIDIA NIM , NVIDIA NeMo Framework , NVIDIA Triton Inference Server , TensorRT , TensorRT-LLM • Experience with large-scale cluster bring-up and operation. • Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design • Familiarity with parallel programming and distributed computing platforms • Experience building large-scale HW solutions for Enterprise computing workloads 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 are 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 October 19, 2025.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. JR2005734

Define and lead the global energy strategy for AI Factories, including utility negotiations, policy engagement, and technology evaluation. | Over 12 years in energy systems and business leadership, with experience negotiating energy agreements, engaging with regulators, and supporting infrastructure planning. | We are looking for a Senior Director of Advanced Energy Systems! NVIDIA's data centers host ground-breaking products across high-performance computing to machine learning applications for autonomous vehicles and healthcare. At the heart of our data centers is the ability to engineer integrated system designs in close coupling to NVIDIA's industry-leading GPU products. We are seeking a Senior Director of Advanced Energy Systems to accelerate next-generation solutions. The Senior Director of Advanced Energy Systems for AI Factories defines and delivers the end-to-end energy vision that enables large-scale AI datacenter growth worldwide. This role blends deep power-system economics, utility operations expertise, and commercial expertise to enable energy for rapidly growing global AI Factories. The ideal candidate thrives in environments where energy sectors, policy frameworks, and next-generation technology are considered together to facilitate a coherent, durable energy strategy. What you’ll be doing: Define and lead the global energy strategy for AI Factories, including grid interconnection, energy sources, and distributed energy systems. Lead all aspects of commercial energy execution, including evaluation and negotiation of utility service agreements, PPAs, storage solutions, carbon-removal contracts, and the energy portions of datacenter site selection and leasing. Work with government relations to facilitate regulatory and policy engagements by influencing market rules to support reliable and scalable energy options to enable AI Factories Conduct energy market and power-systems analysis, providing economic modeling, risk assessment, and portfolio valuation to inform investment decisions and optimize long-term cost and reliability. Partner with utilities and engineering teams to align interconnection planning, transmission, distribution requirements, and operational timelines with AI Factory energy needs. Evaluate emerging energy technologies and advise on the integration of innovative solutions—such as advanced storage and grid-enhancing technologies—into future energy portfolios. Lead commercial, regulatory, engineering, and analytical disciplines to implement a coordinated global energy strategy. What we need to see: MS in Energy Engineering, or Power Systems Engineering (or equivalent experience). 12+ overall years of experience in energy systems and business leadership. 5+ years of demonstrated ability to lead multidisciplinary teams and execute sophisticated commercial and regulatory initiatives. Experience negotiating energy-supply agreements, evaluating grid-interconnection options, and supporting large-scale infrastructure planning. Strong track record of engaging with utility commissions, federal regulators, and grid operators. Experience with global power ecosystems, fuels, and transmission systems. Practical experience with utility planning and operational programs. Skilled in financial modeling, contracts, and risk evaluation for energy-related transactions. Ways to stand out from the crowd: Deep expertise in power-system economics, utility ratemaking, and energy markets. Comfortable operating at the intersection of engineering, markets, and policy. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers, and we have some of the most forward-thinking and hardworking people in the world working for us. Due to outstanding growth, our best-in-class teams are rapidly growing, so if you're creative and autonomous 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 332,000 USD - 500,250 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 22, 2025. 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 NVIDIA's server platforms for deep learning, collaborating across teams and with customers. | Extensive experience in scalable server system architecture, HPC or deep learning workloads, and relevant management protocols, with 10+ years in system architecture. | We are building innovative server systems for GPU accelerated applications, such as Deep Learning. Data Center SW team architects and develops the end to end software and firmware stack for these systems. We are looking for a Senior Software Architect who has deep expertise in designing server platforms and has added understanding of application use cases in Deep Learning workloads. You will work with world class engineering teams, product management, Operations and Customer support to build systems that will truly delight our customers. What You’ll Be Doing • You will lead software activities for NVIDIA's deep learning server platforms, from design through production; collaborating with teams across company to deliver software solutions • Drive the system architecture for a complex server platform in a multi-functional environment. • Partner across application software, libraries, system software and firmware teams to design complete software solutions for new server platforms • Work directly with major customers to understand their requirements and work to align their roadmap with NVIDIA’s roadmap. • Work with business partners and vendors to shape their products to meet NVIDIA’s needs. • Develop a roadmap of new technologies and protocols and drive their design and adoption. • Mentor architects and engineering teams to grow them into future leaders. • Make key technical decisions for designs involving complex inter-component dependencies. What We Need To See • Deep experience in designing architecture for scalable and performant server systems, particularly at the SW/HW interface. • Understanding of HPC or Deep learning workloads and use of accelerated computing platforms. • Expertise in Out of Band and In-band management architectures. • Knowledge of server system architecture and implications of architecture decisions on overall performance of end applications. • Demonstrable experience in implementing left shift strategy to de-risk program execution. • Excellent written and verbal communication skills. • BS or MS degree in Computer Engineering, Computer Science, or related degree or equivalent experience. • 10+ years in the area of System architecture and design. Ways To Stand Out From The Crowd • Knowledge of cloud and cluster level deployment and management systems. • Strong background of device management protocols such as Redfish, IPMI, MCTP, PLDM and RDE. • Knowledge in storage and networking technologies. 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 great people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. Come, join our Data center server systems team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until December 20, 2025.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. JR1973150

Lead and manage internal strategic programs, collaborate across teams, develop roadmaps, and report on program performance. | Requires 8+ years in program management or operations, strong leadership, communication skills, and familiarity with high-tech or data center environments. | 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 an experienced Senior Technical Program Manager to join our NVIS group. This role will concentrate on managing and directing strategic internal programs, ensuring alignment with NVIDIA's broader objectives. The ideal candidate is a strategic problem solver with a strong technical background and outstanding program management skills, skilled at navigating complex challenges and delivering meaningful outcomes. The ideal candidate combines program management expertise with process engineering knowledge, turning operational insights into scalable solutions. What You’ll Be Doing: Lead cross-functional teams to define, plan, and complete key internal strategy programs that align with NVIS goals and NVIDIA's overall mission. Collaborate with partners at all levels, ensuring effective communication and alignment throughout the program lifecycle. Develop program roadmaps, set timelines, and manage risks to ensure successful program delivery. Apply project management methodologies to track progress, measure success, and adjust plans accordingly to meet changing needs. Drive program performance metrics and reporting, providing insights and recommendations for continuous improvement. Foster a culture of innovation and collaboration within the team, encouraging creative problem-solving and proactive initiative. Prepare executive dashboards and reports highlighting progress, impact, and value from strategic projects. Support change management efforts — ensure adoption of new processes, templates, and validation standards across NVIS delivery teams. What We Need To See: Bachelor’s degree in Engineering, Operations, Business, or a related field (or equivalent experience). 8+ years of experience in program management, process improvement, or operations excellence, ideally in high-tech infrastructure or manufacturing environments. Willingness to engage with distributed team members across different time zones. Strong analytical perspective and ability to define measurable important metrics and business impact. Outstanding leadership and interpersonal skills, with the ability to influence and motivate cross-functional teams. Outstanding communication and executive reporting skills, with the ability to translate complex data into clear insights. Enthusiastic, responsive, and passionate about uncovering opportunities for process improvement and release management. Strong organizational skills and multitasking abilities with a focus on thoroughness and rapid context switching. Familiarity with NVIDIA technologies, large-scale compute deployments, or data center operations is a strong plus. Proficient in project management tools and approaches (Agile, Scrum, etc.). Ways To Stand Out From The Crowd: Understanding of AI Factory workflows (pre-deployment, rack validation, cluster bring-up, Time-to-First-Train). Experience managing continuous improvement or operational excellence programs in data center or AI infrastructure contexts. Strategic approach combined with hands-on execution capability. MBA/PMP/Certification in Lean Six Sigma Green/Black Belt or similar methodologies. 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 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 19, 2025. 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.

Collaborate with community model builders, track trends, support marketing, and work with engineering teams to improve open models. | 7+ years in product or partner management, technical background in engineering or CS, knowledge of AI community models, and strong communication skills. | Ready to drive transformation in AI models? At NVIDIA, our team focuses on improving community models like Nemotron, Llama, Gemma, DeepSeek, and Qwen. As a Product Manager for Open Models, you will work with groundbreaking technology to accelerate researchers' and developers' success. Join our team known for their dedication to collaboration and outstanding performance. What you’ll be doing: Collaborating with community model builders to ensure seamless model support, early access collaboration, and go-to-market alignment. Tracking emerging trends in the open model space and assess technical differentiators and ecosystem impact of new releases. Supporting product marketing in crafting model-specific messaging and documentation - including blogs, whitepapers, case studies, and presentations, highlighting NVIDIA’s optimizations and software tools. Collaborating closely with internal engineering, infrastructure, and developer experience teams to enable best-in-class support for open models across inference, fine-tuning, and evaluation. Facilitating feedback loops between our platform and model builders to continuously improve performance, usability, and compatibility. Work with executives to launch new products and support keynotes. What we need to see: 7+ years of significant work experience in product management or technical partner management. BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus. Knowledge of the community model ecosystem, including Hugging Face, PyTorch, and inference frameworks like Ollama, SGLang, and vLLM. Comfortable reviewing Python code used in presentations, demos, and articles. Experience with creating marketing and social media. Excellent written and spoken communication skills, including Microsoft products and markdown skills, with the ability to translate between partner requirements and internal priorities. You love to thrive in a cross-functional organization, by collaborating with peers across teams and functions. Deep organizational skills, capable of balancing multiple projects at the same time. Ways to stand out from the crowd: Product manager experience at a company training frontier AI models. Hands-on experience with quantization, distillation, or low-rank adaptation techniques and running community models on NVIDIA GPUs. Hardworking and highly motivated with measurable results (metrics, awards, key accomplishments) you can share. A growing portfolio of blogs and social posts with links to your relevant work, including technical writing, social media presence, videos, and research papers. 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 hard-working and dedicated 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. #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. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 19, 2025. 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.