Nvidia Corporation

Securing NVIDIA's EDA clusters is not a matter of deploying the standard security stack. These workloads are too large, too long-running, and too performance-sensitive for the off-the-shelf playbook to simply apply. That constraint is the job. We're hiring an engineering leader to build and run Infrastructure Security Engineering for EDA Clusters : the team responsible for implementing security controls across the compute, storage, and networking that NVIDIA's hardware engineers design silicon on, spanning on-prem data centers and multi-cloud environments. You'll operate as the peer counterpart to NVIDIA's company-wide security organization and to hardware infrastructure engineering, translating enterprise security intent into controls that hold up at EDA scale without slowing chip design down. Much of this is a build, not a maintain. You'll have the authority to decide where standard tooling applies, where it actively cannot, and what NVIDIA engineers instead then lead a team to...

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 challenges that are hard to tackle, that only we can pursue, 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! Our team is responsible for development and management of tooling and release infrastructure for chip designers. We are constantly evolving to meet the demands of newer design architectures while maintaining backward compatibility and keeping tools reliable and scalable. What You'll be Doing: Research, develop and maintain high quality tooling for scalable build/regression/release infrastructure that our chip designers rely on...

NVIDIA DGX Cloud builds and operates large-scale GPU infrastructure for AI workloads. We are looking for Software Engineers with SRE or Production Engineering experience who have worked hands-on with bare-metal NVIDIA systems. This team builds the software and operational tooling that moves GPU capacity from installed hardware to production service supporting an IaaS production environment of BMaaS, VMaaS. What makes this opportunity outstanding is the chance to work with innovative technology to develop the future of AI computing. Join us to be part of a world-class team and make an impact on the next era of computing! At NVIDIA, you'll help make next-generation AI infrastructure production-ready at scale! What you'll be doing: Build automation for bare-metal provisioning, hardware validation, firmware and software upgrades, repair, and cluster lifecycle management. Build tools using BMC and Redfish interfaces to assess hardware health, regulate server state, and facilitate...

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. NVIDIA is a pioneer in advancing AI technology and transforming industries through groundbreaking GPU innovations. The Network Automation & Intelligence Platforms team seeks a Senior Manager to lead and develop the future of our network infrastructure. This position provides an outstanding...

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 solve, that only we can take on, 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 GPU clocks group is looking for an exceptional ASIC Clocks Verification Engineer. The team is responsible for crafting all aspects of GPU clocking. The team collaborates with the front design team to understand the clocking requirements for the chip. The clocks team interacts with the floor-planning and back-end team to help craft the physical floorplan of the chip. The team explains the programming model to the SW team to...

NVIDIA is seeking an engineering director to lead the software teams behind our bare-metal datacenters and cloud compute infrastructure. The organization supports hundreds of megawatts of datacenter capacity already online, with more capacity coming. You will build the software that makes this growing physical infrastructure available as reliable, secure, and efficient compute services for NVIDIA engineering. Our team provides NVIDIA's continuous integration (CI) infrastructure: the environment where hardware, firmware, drivers, networking, and system software are integrated and tested on their path to production. You will enable engineering teams to bring up preproduction systems, reproduce failures, validate changes, and move platforms toward production readiness. The fleet spans multiple hardware generations and maturity levels: x86 and Arm servers, GPUs, DPUs, high-speed networking, storage, and rack-scale, liquid-cooled systems. Platforms such as Grace Blackwell and Vera Rubin...

Today, NVIDIA is 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, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. What you'll be doing: Evaluate emerging and established AI tools, agent harnesses, and models on representative NVIDIA engineering workflows, comparing task success, output quality, reliability, latency, cost, and enterprise readiness. Spot opportunities where AI is the best tool. Uncover gaps, and recommend AI-first approaches over conventional solutions grounded in hands-on evaluation of modern AI-native tools. Design, implement, and validate reference workflows for coding,...

NVIDIA is at the forefront of the generative AI revolution! The Algorithmic Model Optimization Team specifically focuses on optimizing generative AI models such as large language models (LLM) and diffusion models for maximal inference efficiency using techniques ranging from neural architecture search and pruning to sparsity, quantization, and automated deployment strategies. Our work includes conducting applied research to improve model efficiency as well as developing an innovative software platform (TRT Model Optimizer). Our software is used both internally across NVIDIA and externally by research and engineering teams alike developing best-in-class AI models. We are now looking for a Senior Deep Learning Software Engineer to develop and scale up our automated inference and deployment solution. As part of the team, you will be instrumental in pushing the limits of inference efficiency and large-scale, automated deployment. Your work will touch upon fundamental aspects of a...

Be part of the Autonomous Vehicle (AV) Applied Research team and help advance safe autonomy through generative world models and synthetic data. This internship is an opportunity to work alongside a team of researchers and engineers developing the next generation of models that can understand, simulate, and reason about complex driving environments. We are looking for a passionate and highly motivated Research Intern with a strong background in machine learning and an interest in autonomous driving, generative world models, multimodal foundation models, and synthetic data generation. Our applied research team works closely with researchers and engineers across NVIDIA Research and the AV organization to develop scalable methods for training, evaluating, and improving autonomous systems. Our research spans generative video and world models, controllable scenario generation, multimodal learning, end-to-end driving, 3D computer vision, and data-centric learning. We are particularly...

Join NVIDIA's Solution Engineering team that is changing the future of driving. Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more efficient roads. Our team is hands-on, passionate about practical results, and values diversity. You will help craft the application software architecture by working closely with external partners developing on our platform and collaborate across multiple teams within NVIDIA working on autonomous vehicles. You will also advance and refine the overall drivability of our solution, focusing on integration challenges and using your deep analytical skills to tease through the complexity of the system to find effective solutions. NVIDIA is widely considered to be one of the technology world's most desirable employers, and is committed to fostering a diverse work environment and proud to be an equal opportunity employer. If you are passionate in bringing autonomous vehicles into the world and see...

Today, NVIDIA is 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 an inclusive, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. NVIDIA's System Product Team is seeking curious, collaborative, and motivated hardware engineers to take our GPU memory subsystem from first silicon power-on to production. This role sits at the intersection of hardware and software, offering the opportunity to work directly with silicon, board, and firmware teams to shape how NVIDIA products perform from the ground up. What you'll be doing: Planning and performing DDR memory tuning, validation, and feature enablement on NVIDIA...

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...

We are looking for a software engineering manager with strong leadership and mentoring skills to join the CUDA Driver team! We design the CUDA programming model, expose that programming model through the CUDA Driver & CUDA Runtime APIs, and implement the associated functionality in the CUDA Driver & CUDA Runtime. The CUDA Driver and its programming model serve as the foundation for NVIDIA's CUDA-X software stack and compute platform. The team primarily works on aspects of the CUDA Driver related to its memory model - how to allocate , move, and access memory in a performant and efficient manner across NVIDIA's range of hardware offerings, including both single-node and multi-node environments. What you will be doing: Lead a team of system software engineers to design and build CUDA for current and future hardware architectures. Engage multi-functionally with teams across NVIDIA to define and drive CUDA's roadmap. Contribute to CUDA feature design and drive...

For more than 25 years, NVIDIA has driven innovation in computer graphics, PC gaming, and accelerated computing. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're harnessing the boundless possibilities of AI to build 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. DSX OS is NVIDIA's open source foundation for AI infrastructure. It is a growing portfolio of engineering teams building in the open. Every project in that portfolio needs to meet a shared bar for open-source readiness: code hygiene, governance, community health. Today, that's measured by hand,...

NVIDIA is looking for a Senior Applied AI Engineer to help build intelligent software systems that improve engineering productivity and software quality at scale. In this role, you will develop AI-powered workflows and services that help teams analyze complex code changes, surface meaningful signals from large engineering datasets, and accelerate debugging and decision-making. You will work at the intersection of software engineering, machine learning, and developer productivity to turn advanced AI capabilities into practical, reliable tools used in real engineering environments. What you will be doing: Invent and build AI-powered systems that enhance software quality, engineering efficiency, and developer workflows. Develop intelligent workflows for analyzing large codebases, code changes, and engineering signals to help teams identify issues earlier and make faster, better decisions. Build and maintain production services and infrastructure for AI-enabled applications,...

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are applying accelerated computing and AI to define the next era of computing. Doing what has never been done before takes vision, innovation, and exceptional talent. As an NVIDIAN, you will work in a diverse, supportive environment where people are encouraged to do their best work and make a lasting impact. NVIDIA is looking for a Principal Segment Sales Manager to build and scale the business for infrastructure software that improves the performance, security, efficiency, and serviceability of AI data centers. NVIDIA BlueField DPUs and DOCA enable networking, cybersecurity, storage, and host-infrastructure services to run on an accelerated and programmable data-processing platform. You will own the segment sales motion across DOCA services and the BlueField software ecosystem, including networking, cybersecurity and storage use cases. You will work with...

Would you like to be a part of one of the most exciting companies in technology? NVIDIA, the world leader in accelerated computing, is seeking an AI Factory Territory Sales Position for NALA to drive adoption of the NVIDIA AI platform across a designated geographic territory. This full-time position requires close working relationships with channel partners, OEM account teams, ecosystem partners, and NVIDIA solution architects to drive revenue growth-from early executive discussions through production AI deployments. This active field role requires frequent travel within the territory for in-person meetings and events. If you have a passion for helping customers transform their businesses through artificial intelligence and accelerated computing, we'd like to talk with you! What you'll be doing: Own a designated geographic territory, driving enterprise and commercial account revenue through the channel. Lead executive working sessions with C-level and line-of-business...

We are seeking a Senior Developer Relations Manager to build the developer ecosystem around NVIDIA Dynamo, our open-source framework for distributed AI inference. In this senior individual contributor role, you will help developers deploy and operate inference systems, build practical technical resources, and represent developer needs both in the community and inside NVIDIA! What You'll Be Doing: Build the ecosystem with vLLM, SGLang, Mooncake, llm-d, and other inference projects through joint demos, integration guides, upstream contributions, and community programs that bring developers and maintainers together. Develop runnable demos, sample code, technical documentation, and videos that explain Dynamo's modular ecosystem and demonstrate its data center performance value. Represent the developer community inside NVIDIA: turn feedback into concrete engineering and product requirements, influence priorities, and communicate progress back to developers. Advocate...

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a highly motivated Senior HPC Support Engineer - Ethernet / AI Infrastructure to be engaging with our prestige customers, passionate about data center and networking technologies, to provide comprehensive solutions for sophisticated installations, maintenance, or operations for a...

NVIDIA Financial Services sales team now looking for a Senior Account Manager to serve our banking clients. At NVIDIA, we are seeking a high-energy and experienced sales professional with a validated successful track record of leading enterprise accounts in the Financial Services Industry. This full-time position requires close working relationships with NVIDIA solution architects, business development leaders, and developer relations, to drive revenue and platform adoption for the company. This role requires a strong knowledge of the enterprise business landscape and the financial services industry. This person should have the ability to shift easily from working with senior level executives and strategy decision makers to data scientists, and IT leaders. What you'll be doing: You will be responsible for all aspects of strategy creation and implementation, forecasting, sales account management, training and education to a select number of enterprise customers. Be the key...