Nvidia in United States

NVIDIA DGX Cloud is an AI Factory designed to power the next generation of AI and industrial-scale breakthroughs. As the Distinguished Engineer for Security Architecture, within our Security Engineering organization, you will set the security design bar for an AI factory of hundreds of thousands of GPUs, and then build against it alongside the teams. This is the founding architecture seat in a new organization. Security Engineering is a new organization at DGX Cloud, accountable for the security outcome of the platform, and this is the architecture function inside it. You will define the security design standard for DGX Cloud, a bar that sits above the company floor, and hold it from inside the teams doing the building. Security here is fleet horizontal and stack vertical, so your scope runs from the hardware root of trust and the hardened baseline, through tenancy and GPU workload isolation, to the services and APIs built on top, across every DGX Cloud engineering organization. A small team of Principal Engineers will report to you and hold the bar at domain depth. This is still a hands-on seat, and you stay in the design with them. You will also serve as DGX Cloud's technical interface into NVIDIA's central security organization. There is no architecture review board here and no approval queue; the bar holds because the strongest security engineers in the room helped set it and helped ship it. What You Will Be Doing: Set the DGX Cloud Security Bar: Own the security design standard across DGX Cloud (tenancy, GPU workloads, identity, supply chain, and isolation) and make it concrete. Reference architectures, golden paths, and requirements engineers can actually build against, not a policy library. Hold the Bar by Building: Embed with engineering teams on real work: join the design, learn the code, help ship the thing rather than grade it afterward.

We are hiring senior engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers 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! CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, switches and the operating system. What you'll be doing: As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best Compute platform in the world. You will craft elegant solutions to exciting problems and craft the future direction of CUDA as you collaborate with your peers across NVIDIA. You will evangelize, architect, and implement new CUDA features You'll oversee and drive development efforts across multiple teams Collaborate with members of hardware architecture teams Help define forward-looking improvements to the CUDA APIs and programming model Design and maintain performance and precision modeling Write effective, maintainable, and well-tested code Develop code for multiple operating systems What we need to see: Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience) 15&#43; years of relevant systems software development experience Strong C programming skills </

Are you a person who likes to work in a fast-paced organization? NVIDIA is the world leader in Visual Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics and HPC/Cloud Datacenters; in addition to our traditional OEM business. We are well positioned as the ‘AI Computing Company’, and our GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, big data, modern data centers, smart cities, and driving autonomous vehicles. We have some of the most forward-thinking and talented people on the planet working for us. If you're forward-thinking, hardworking, driven and if working with extraordinary people across countries sounds interesting, this job is for you. We are now looking for a Human Resources Business Partner to provide HR support onsite in Santa Clara, CA for our Worldwide Field Organization in a dynamic and collaborative environment. This is a global organization, and we are looking for someone to be passionate about supporting and building strategies to enable NVIDIA to achieve success. You’ll partner with a cross-functional group of subject matter experts to design and execute strategies for how we staff, onboard, develop, motivate, retain and organize work. You will need excellent communication skills, critical thinking and planning ability, and the agility to function in a fast paced and innovative environment. What you'll be doing: This position will be an integral enabler of the mission of our Field organization. In this position you will work with the senior leaders and leadership teams within NVIDIA organizations to develop and execute the HR strategies that champion organizational and people effectiveness. You will think strategically as well as roll up your sleeves and dive deep into practical application. You must understand business priorities and translate them into an HR ag

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 AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world. What you’ll be doing: You will work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms Implement power and thermal management software features in Linux Kernel and user space Collaborate with power architects, hardware and software engineers on platform power estimation and optimization Optimize the software stack to improve performance, efficiency, and responsiveness for edge AI and robotics use cases. Focus on improving compute and memory utilization, reducing latency and power consumption, and tuning system-level performance to deliver reliable and scalable AI workloads across demanding real-world edge environments. What we need to see: MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major, or equivalent experience 8&#43; years of software development experience with a significant focus on Linux Excellent C programming/debugging skills within Linux kernel and user space software Background with working on embedded systems and ARM processor specific System-level debugging experience and problem-solving skills Excellent communication skills Ways to stand out from the crowd: Understanding of the Linux power and thermal management features (schedule

NVIDIA is seeking outstanding Research Interns to join the Data-Driven AI for Robotics (DAIR) group. The focus is on learning embodied skills from large-scale human data. Our objective is to develop AI systems that capture, understand, and reproduce complex human motion and interaction skills across physical and digital embodiments, including humanoid robots and animated characters. Our research spans the full stack: reconstructing human motion and human-object interactions from video; generating diverse, controllable character behaviors; transferring motion across embodiments; and training physically grounded controllers for humanoid robots and interactive virtual characters. You will collaborate with a passionate and supportive research team that consistently produces influential work published at leading computer vision, machine learning, graphics, and robotics conferences. You will also have the opportunity to collaborate with world-class research and product teams across NVIDIA, following our strong “one-team” culture. What you'll be doing: Innovate and implement novel AI algorithms that transform large-scale human data into controllable motion and interaction skills across physical and digital embodiments. Develop robust, scalable training and inference pipelines for motion reconstruction, generation, retargeting, and character and robot control. Build methods that transfer human skills to humanoid robots, including whole-body loco-manipulation and dexterous manipulation. Maintain a close, collaborative relationship with your mentor(s). Publish your research findings at leading computer vision, machine learning, graphics, and robotics conferences. Partner with product teams to enable effective technology transfer of your work. Research Topics Include: Human motion and human-object interaction reconstruction, synthesis, and generatio

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, we're not just transforming the world of computer graphics and AI; we're setting the stage for the future of autonomous driving. As a Lead Safety Architect, you will be at the forefront of our autonomous vehicle technology, ensuring its safety at scale. You will collaborate with the most innovative engineers and technologists to integrate safety measures into our latest DRIVE products. This role is paramount in achieving and exceeding NVIDIA's high safety standards, making your work both exciting and impactful! What you’ll be doing: Representing NVIDIA’s functional safety strategy and architectures to the customer Working closely with customers to understand their functional safety requirements and system architectures and feeding those back into the development teams Assisting customers to safely integrate and validate our products in their systems and vehicles Supporting customer facing safety collateral Tailoring functional safety platforms and safety analyses for strategic customers You will be working closely with safety management, solution architects, sales and technical marketing teams to deliver state of the art products

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, our legacy of innovation spans over 25 years, driven by our outstanding team and groundbreaking technology. As we enter a new era of computing powered by AI, we are seeking a Privacy Counsel to join our esteemed Legal team. This is an outstanding opportunity to support our mission in crafting the future of technology through flawless privacy governance and data protection. Located in Santa Clara, CA, you will be at the forefront of privacy law, collaborating with world-class colleagues and contributing to NVIDIA’s ambitious goals. What you'll be doing: Reviewing vendor contracts and data processing agreements (DPAs), with a focus on privacy, data use, and security provisions. Supporting outbound data sharing arrangements with third parties, including assisting with data transfer risk assessments and ensuring appropriate contractual safeguards are in place. Contributing to the development of scalable processes and playbooks for vendor privacy review and third-party data sharing. Consulting with business partners on privacy considerations arising from new products, partnerships, and data initiatives. Keeping up-to-date with legal developments in privacy law, including U.S. state privacy regulations an

NVIDIA is looking for a hands-on Solutions Architect Manager to lead a team of GPU, networking & software solution architects and engineers. Do you want to build and lead a group that designs, debugs, and deploys new AI hardware and software technologies into production in customer data centers? As part of the NVIDIA SA organization, you will drive people and technical leadership for end-to-end solutions deployments at some of NVIDIA's most strategic technology customers, while directly contributing to designs and deep-dive debugging and shaping our product roadmap with customer feedback. What you will be doing: Recruit & manage a team of solutions architects, system/network and software engineers focused on large-scale GPU and AI networking deployments. Set priorities, allocate resources, mentor, and ensure high-quality customer delivery across multiple concurrent projects - while remaining directly involved in key technical reviews, design decisions, and critical debug efforts. Provide deep subject-matter expertise in advanced GPU and network systems and serve as the senior technical point of contact for strategic customers. Personally lead and guide complex compute/network configuration and performance debugging, working side-by-side with your team to deliver performant, reliable clusters. Guide your team as they lead network / compute / software architecture discussions, and support server, network, and cluster bring-up, including on-site data center work where needed. Systematically collect and synthesize customer-specific requirements across your portfolio. Partner with GPU/Network Systems Engineering, Product Management, and Sales to influence roadmap priorities and packaging of reference designs and solutions. Demonstrate SME in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-sp

Be at the forefront of innovation with NVIDIA! Our CUDA Libraries & Frameworks Product Marketing Manager role offers an outstanding opportunity to build the future of accelerated computing. This is your chance to join an elite team in Santa Clara, where your contributions will have a lasting impact on technology and society! We are looking for a technical, AI-first CUDA Product Marketing Manager. This is a hands-on PMM role for someone who uses AI coding agents and automation as part of daily execution, not as an occasional productivity aid. Come help craft the story for CUDA, core NVIDIA acceleration libraries like cuDNN, NCCL, NIXL, and AI frameworks like PyTorch, JAX, vLLM, and SGLang. What you'll be doing: Own positioning and messaging for CUDA as a developer platform, including the CUDA programming model, compilers, and core libraries. Make technical capabilities clear, credible, and useful for developers and technical decision-makers. Translate technical features for core libraries such as cuDNN, NCCL, CUTLASS, and TensorRT-LLM into data-driven developer narratives, release messages, proof points, ecosystem informed claims, and field-ready assets. Describe how NVIDIA speeds up AI frameworks and runtimes such as PyTorch, JAX, vLLM, and SGLang, linking low-level platform features to benefits for developers. Use AI coding agents daily to build PMM operating systems: competitive-intelligence agents, automated research pipelines, content auditing, reporting, and partner mapping. Turn documentation, performance benchmarks, GitHub issues, customer signals, and roadmap updates, into messaging assets. Lead go-to-market execution for CUDA launches and core library releases. What we need to see: Bachelor's degree in Computer Science or relevant field (or equivalent experience).

Ready to help developers and researchers get more from open AI models? At NVIDIA, our team improves support for leading community models such as Nemotron, Llama, Gemma, DeepSeek, and Qwen. As a Product Manager for Open Models, you will help coordinate model enablement, developer experiences, technical content, and product launches across NVIDIA’s accelerated computing platform. You will work alongside experienced product managers, engineers, model builders, and product marketing teams. This role is ideal for someone early in their product-management career who has a strong technical foundation, enjoys working across teams, and is excited about the open-model ecosystem. What you’ll be doing: Support collaboration with community model builders around model access, technical enablement, launch readiness, and go-to-market activities. Track emerging open-model releases and summarize their capabilities, technical differentiators, hardware requirements, and ecosystem impact. Maintain product requirements, launch plans, readiness checklists, and supporting documentation for assigned models. Partner with engineering, infrastructure, and developer-experience teams to support open models across inference, fine-tuning, evaluation, and deployment. Gather feedback from model builders and developers, identify recurring issues, and translate findings into actionable product requirements. Review and test developer workflows, sample applications, notebooks, and Python code used in demonstrations and technical content. Collaborate with product marketing on blogs, documentation, presentations, case studies, and social-media content. Support product announcements, demonstrations, keynote materials, and other high-visibility launches while working onsite at least three days per week. What we need to see: 2&#43; years of relevant experience in product ma

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 an outstanding Compiler Engineer to help build the next generation of intelligent compiler technologies for NVIDIA's accelerated computing stack. Our team works at the intersection of compilers, agentic systems, numerical correctness, and verification to create systems that can reason about, generate, optimize, and validate code transformations across software and hardware boundaries. This is an excellent opportunity for new graduates who are excited about coding agents, AI-assisted software engineering, developer tools, and GPU computing. In this role, you will work with experienced engineers and researchers to build agentic systems and compiler-aware tooling that improve developer productivity, code quality, and system performance across NVIDIA's software and hardware stack. What you'll be doing: Build and improve coding-agent systems for tasks such as code generation, transformation, debugging, optimization, validation, and developer assistance. Develop agent workflows involving tool use, planning, memory, execution, and feedback loops for software engineering and compiler-related tasks. Help create training, evaluation, and verification environments to improve agent quality, correctness, r

We are seeking a mission-driven Developer Relations Manager focused on Foundational AI Research to engage leading academic labs advancing the next generation of AI models, systems, and methods. In this role, you will work directly with top researchers building frontier AI systems, including large language models, multimodal models, reasoning systems, training methods, inference systems, model serving, and scalable AI infrastructure. You will help researchers adopt NVIDIA’s AI and accelerated computing platforms to push the boundaries of model performance, efficiency, and scale. The ideal candidate brings deep technical credibility in foundational AI, strong research engagement experience, and hands-on expertise in either AI inference research or AI training research. What you'll be doing: Serve as a trusted technical advisor to leading academic AI labs working on foundation models, LLMs, multimodal AI, reasoning, training, inference, and AI systems. Identify high-impact research workloads where NVIDIA software, systems, and accelerated computing platforms can advance model performance, scale, and efficiency. Engage principal investigators, postdocs, graduate researchers, and lab leadership to understand research goals, technical blockers, infrastructure needs, and collaboration opportunities. Track frontier AI research across papers, benchmarks, open-source projects, and academic labs to identify emerging trends and future platform opportunities. Partner with Research Account Managers, Solution Architects, Product, Engineering, and Business Development teams to support researcher adoption and long-term engagement. Represent researcher needs internally by translating academic feedback into actionable insights for product roadmaps, developer programs, education, and platform strategy. Support NVIDIA participation in major AI, ML, and systems research venues through technical content,

We are looking for a 100% hands-on Storage Services Software engineer to join the block storage group. You will be a member of a team that builds the next-generation block storage capabilities and architects a proprietary distributed file system solution from its inception. You will work closely with a variety of teams and architects including the networking team, and external customers. You will take part in defining the software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow. At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play. What you’ll be doing: 100% hands-on coding role in C language, Kernel and Userspace Access advanced AI tools and a token budget for code development provided by NVIDIA, the world's AI factory leader. Research, design, implement and test, new and existing, distributed storage services and features of NVIDIA’s block and file storage solution, in both Host and DPU environments. Acquire understanding of the algorithms, the technicalities and the interaction with other components across NVIDIA’s block and file storage ecosystem. Analyze and solve challenging bugs and customer cases in la

We are looking for a Senior System Software Engineer, Software Defined Networking to design, build, and operate highly performant and scalable SDN solutions for NVIDIA's AI Clouds hosting GPU-accelerated workloads — including hyperscale multi-node training, inference, cloud gaming, and cloud functions. This role spans the full lifecycle of our SDN stack — from designing and developing new control and data plane software to ensuring operational excellence in production through reliability engineering, CI/CD, observability, and incident response. What you'll be doing: Design and develop next-generation multi-tenant cloud SDN control and data plane software (OVS, OVN, OpenFlow) Build Infrastructure-as-a-Service virtual network orchestration and services using gRPC and REST to support tenant workload security and performance SLAs for BMaaS, VMaaS, and Kubernetes Drive upstream contributions to OVN-Kubernetes and related open-source projects Develop software for network observability — monitoring, telemetry, intelligent metering, and performance analysis Operate and support OVS-OVN based SDN solutions in large-scale NVIDIA AI Cloud environments Own end-to-end observability for the SDN stack — build and maintain monitoring, alerting, distributed tracing, and dashboarding to ensure real-time insight into network health, performance, and tenant SLAs Design, enhance, and maintain CI/CD pipelines (GitLab) across Linux host networking, OVS, OVN, and Kubernetes CNIs Implement GitOps approaches or related experience for secure, seamless integration with cloud infrastructure Drive reliability through incident management, resource monitoring, and performance tuning<

We’re looking for a technical architecture expert with hands-on development experience to define the architecture of the Retail and Consumer Packaged Goods Platform and collaborate with engineering to build the platform. This is a technical engineering role and requires familiarity with NVIDIA’s GPU acceleration libraries, experience in Retail, CPG, logistics, or marketplaces, and knowledge of enterprise AI architectures will make you an ideal candidate. Join us and take the lead in building the retail platform and help us develop the future of AI in retail! Your mission is to leverage NVIDIA’s existing retail and supply chain blueprints, along with proven workflows and best practices codified through customers and ISV engagements, to define the architecture and build the Retail & CPG platform. You will be responsible for architecting and collaborating with engineering teams across NVIDIA, to build the platform. Built on NVIDIA’s full stack—including Agentic AI, Physical AI, and accelerated computing—this platform will power our three strategic pillars: digital commerce, supply chain, and intelligent stores. What you'll be doing: You will work with Retail & CPG product management, business development, and developer relations teams to harness their deep expertise in supply chain and retail to architect and build a platform that makes it easier for our ecosystem and customers to build AI solutions at scale. The platform will use our NVIDIA Nemo microservices and Nemotron open-source models, with initial priority on Agentic AI for supply chain, digital commerce and employee productivity. This role will initially be an individual contributor with developer experience building AI agents and will collaborate with a strong technical retail and supply chain team, as well as horizontal engineering team(s). Define product, technical vision and architecture Develop platform s