258 system software engineer jobs found in Santa Clara, CA

We are looking for a Senior System Software Engineer to work on Dynamo-Triton Inference Server . NVIDIA is hiring software engineers for its GPU-accelerated deep learning software team. Academic and commercial groups around the world are using GPUs to power a revolution in AI, enabling breakthroughs in problems from image classification to speech recognition to natural language processing. We are a fast-paced team building a highly-performant AI inference platform to make design and deployment of new AI models easier and accessible to all users. What you'll be doing: Develop world-class GPU-accelerated AI inference serving software. Contribute to feature development and drive broad customer adoption. Drive the convergence of the Triton Inference Server and NVIDIA Dynamo stacks to establish a unified, high-performance inference platform. This platform will ensure feature parity and effectively serve both Large Language Model (LLM) and non-LLM workloads. Be an active member of...

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. As a Tegra System Software Engineer at NVIDIA, you will play a pivotal role in crafting the next generation of computing. Our team is dedicated to developing world-class systems and solutions that power everything from AI to self-driving cars. Join us in Santa Clara, CA, USA, and contribute to...

We are seeking software engineers to work on next-generation graphics and computing products. Our charter is to build the most stressful set of applications a GPU or high performance computing server would see in its life cycle. The best candidates will have strong C++ programming skills, detailed knowledge of graphics concepts and algorithms, a proven foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture at systems level. Excellent interpersonal skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will extensively use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors. Join us! What you'll be doing: Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics...

Within the NVIDIA Gaming Network (NGN) infrastructure/storage group, the NGN Software-Defined Storage (SDS) team focuses on storage and infrastructure software for NGN/GeForce NOW, with work spanning NGN 2.x Kubernetes, block storage, performance/scale, security, tenant storage, tenant gameseat, and related central NGN services. NVIDIA is looking for a Senior System Software Engineer (SDN) to advance software-defined networking for global GPU cloud infrastructure that enables AI workloads, cloud gaming, content delivery, and other accelerated services. Build and operate secure, programmable cloud networking using Open vSwitch, OVN, Kubernetes, C, and Go. Collaborate with senior engineers, NVIDIA architects, and partner teams to lead architecture, implementation, qualification, issue response, and production improvements. What you'll be doing: Collaborate with engineers and architects to define, review, and evolve multi-tenant control-plane and data-plane architecture using...

We are seeking a Sr System Software Engineer to help us build out our scientific computing platform workflows on Cloud. This Cloud based scientific computing cloud platform enables Physics based Numerical Simulation Solvers, AI based Training, Inference and Visualization workflow for physical science and engineering problems. Those applications include Weather prediction, Climate modeling, Industrial design and Digital twins simulation in various domains e.g Aerospace, Automotive, Sports, Renewable energy, Bio-medical and many more. Are you passionate about solving rewarding problems at scale? Do you enjoy crafting robust, critical services for compute and data intensive workload? If so, you may be a phenomenal fit for our team! What you'll be doing: Design services and take ownership of underlying cloud infrastructure for physics informed and data driven scientific workflows Design novel algorithms and actively engage with operations to increase overall system performance,...

Join NVIDIA's GPU SW Kernel organization, where we're groundbreaking the next generation of outstanding AI systems to transform GPU software development. Our team leads the effort in crafting agentic AI systems that improve the quality and efficiency of GPU software. This is an outstanding opportunity to grow innovative systems from promising projects to critically important infrastructure. Be part of a dynamic team that impacts GPU release quality and establishes new standards in AI-enhanced automation! What you'll be doing: Compose, build, and productize agentic AI systems that operate directly on GPU software artifacts - source code, crash dumps, changelists, test results, and CI/CD signals Own the full lifecycle of agentic services: from prototype through evaluation, deployment, and continuous improvement Build robust LLM-powered pipelines for code generation, automated bug triage, regression detection, and intelligent test coverage analysis Develop the agentic knowledge...

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...

It's an exciting time for NVIDIA as we expand our capabilities into the world of data science, data processing, and database acceleration. We're looking for an outstanding software engineer to apply their skills in the development of our unstructured data processing libraries, NVIDIA cuVS and cuML. These libraries compile highly optimized C++ and CUDA algorithms and expose them to higher-level languages like Java and Python. These higher-level languages are then used directly or to accelerate other libraries and database systems. In this role, you will research, develop, benchmark, and explore novel tuned custom algorithms for accelerating vector preprocessing, indexing, and search, as well as building high-performance ML algorithms for clustering and visualization. This is a great chance to take advantage of your CUDA/C++ skills and make a huge impact across a rapidly growing industry. Vector search is an exciting new field at the intersection of database and machine learning....

NVIDIA is searching for highly motivated, creative engineers to join the Platform Software team. You will work with a team of hardworking software engineers working on all aspects of SOC and system, and technology verticals. As someone who is hardworking and passionate about their craft, you will design key aspects of our SOC drivers, BSP, sophisticated CI/CD system, as well as collaborating with key partners and OEM customers. You should demonstrate the ability to excel in an environment with fast pace and agility. What you'll be doing: Developing and triaging platform drivers which goes into SOCs Building sophisticated automation triage tools and issue packetizations for FW and OS drivers Supporting OS driver development, bring up and triaging of Platform and Multimedia drivers Supporting the OEM ecosystem and providing innovative solutions Assist Boot KPIs, Security and OS drivers Supporting many ecosystems related verticals You will follow the devices all the way...

The AI revolution is not powered by models alone, rather it advances when enormous amounts of computation become fast, efficient, and economical enough to turn new ideas into products people can use on a global scale. Faster training lets research and product teams test the next idea sooner. Lower-latency, higher-throughput inference makes AI assistants and agents more responsive and practical for more people. Shorter time to solution lets scientists and engineers explore more possibilities within the same time and energy budget. At NVIDIA, performance is not a supporting metric - it is how architectural invention becomes useful computing. CUDA is a critical layer where that transformation happens, sitting beneath the frameworks, libraries, and applications used across AI, deep learning, and HPC, as well as graphics, automotive, robotics, and other CUDA-powered products. That gives this team unusual leverage: reduce overhead in a fundamental launch, synchronization, memory, or...

GeForce NOW is Nvidia's Cloud Gaming service, streaming games at the highest quality to any and every user, regardless of their device type and capabilities - low-end PCs, Macs, or mobile devices. Using the most sophisticated GPUs and Nvidia proprietary software, GeForce NOW transforms the gaming experience with always up-to-date games on always the latest hardware, a streaming experience rivaling that of a local PC, and near-instant launch - just click and play! For more details, see http://www.geforce.com/geforce-now . We are looking for a Senior System Software Engineer who sees the big picture of Cloud Computing and is deeply technical, creative, and hands-on. You will design, build, and deploy highly scalable cloud-based solutions for GeForce NOW. You will require a deep understanding of programming languages, distributed systems, multi-threading, and most importantly, cloud services. Your work will craft scalable and efficient cloud services to drive Visual Computing, Deep...

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. We're looking to grow our company, and form teams with the smartest people in the world. Join us at the forefront of technological advancement. Are you a motivated system software engineer with a deep understanding of device drivers who has phenomenal C/C++ skills? If so, this role might be for you. We are looking for a seasoned software professional to work on the CUDA Driver, a core component of our platform for accelerating general purpose computation on the GPU. You will be an integral part of a team that delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational...

NVIDIA's impact on computer graphics, personal computer gaming, and high-performance computing has been evolving for over 25 years. It's a distinctive heritage of innovation that's motivated by great technology-and remarkable people. Currently, we're harnessing the boundless possibilities of AI to build the next era of computing. An era where our GPU functions as the intelligence behind computers, robots, and autonomous vehicles that perceive the world. Creating what's never existed calls for creativity, inventiveness, and the world's leading talent. As an NVIDIAN, you'll be part of a varied, encouraging workplace that encourages everyone to perform at their highest level. Join the team and discover how you can build a lasting impact on the world. NVIDIA is searching for highly motivated, creative engineers to join the Platform Software team. You will work with a team of hardworking software engineers across all aspects of SOC, systems, and technology verticals. As someone who is...

NVIDIA has transformed computer graphics, PC gaming, and accelerated computing for more than 25 years through exceptional technology and the people who build it. In semiconductor manufacturing, our role is to enable the ecosystem, not compete within it. We partner with fabs, equipment manufacturers, and software providers to make inspection, metrology, and manufacturing intelligence dramatically faster on the NVIDIA platform. Our team builds the software that makes this possible: models, adaptation and evaluation workflows, and deployable inference capabilities that partners integrate into their own tools. We work in environments where labeled data is limited and proprietary, distributions shift across tools and fabs, production budgets are tight, and software must operate inside air-gapped facilities. We're seeking a Principal Systems Software Engineer for Semiconductor Inspection in Santa Clara. This is a hands-on architect role: you will define the approach, build it, evaluate...

Senior Systems Software Engineer, Observability and Telemetry Platform at NVIDIA is an engineering role to compose, build, and maintain large scale production systems. These systems require high efficiency and availability. The role uses a combination of software and systems engineering practices. This is a highly specialized discipline which demands knowledge across different systems, networking, coding, database, capacity management, continuous delivery and deployment and open source cloud enabling technologies like Kubernetes and OpenStack. Senior Systems Software Engineer at NVIDIA ensures that our internal and external facing GPU cloud services run maximum reliability and uptime as promised to the users and at the same time enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency and performance. Senior Systems Software Engineer is also a mindset and a set of engineering approaches to running...

NVIDIA is looking for a hardworking Sr. Systems Software Engineer to work on platform software based on open-source container runtimes and Kubernetes technologies. We expect you to have strong programming skills, a deep understanding of designing and building software, especially related to GO and Kubernetes, experience with Systems Software and Distributed systems, as well as excellent communication and planning skills. We also welcome out-of-the-box problem solvers who can provide new ideas while strong at completing tasks. Expect to be constantly challenged, improving and evolving for the better. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. If you're creative, passionate about what you do, autonomous and love having fun, we want to hear from you! What you will be doing: You'll be part of a small and dynamic team that explores innovative ways to make GPU accelerated applications easier to develop, deploy, and...

Sr Software Engineer - Distributed Systems Engineer, EDA Infrastructure NVIDIA is hiring engineers to build and scale the infrastructure that supports our Electronic Design Automation (EDA) workloads. We are looking for engineers with strong programming skills, a deep understanding of distributed systems, experience operating large-scale production infrastructure, and excellent communication and planning abilities. You will help design reliable automation and platform services that manage large fleets of GPU-based and CPU-based compute systems used by engineering teams across NVIDIA. The ideal candidate is comfortable working across software, operating systems, cluster schedulers, networking, storage, and physical hardware. You should enjoy solving complex operational problems, eliminating repetitive work through automation, and building systems that remain reliable as infrastructure grows. If you are creative, pragmatic, and motivated to improve how critical engineering workloads...

Company Description It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your...

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...

Intelligent machines powered by artificial intelligence are transforming transportation. NVIDIA is building the computing platforms, software, and AI systems that enable autonomous vehicles to perceive, reason, and act in complex environments. Our team develops NVIDIA's end-to-end autonomous driving application. We are looking for a Senior Integration Engineer to accelerate the development, integration, evaluation, and deployment of end-to-end driving models across large-scale training infrastructure, simulation environments, and production vehicle platforms. In this role, you will work across model development, data, simulation, systems software, and vehicle engineering. You will help turn rapidly evolving AI models into reliable, high-performance autonomous driving functionality running on NVIDIA's heterogeneous computing platforms. What you'll be doing: Integrate learned driving models with vehicle interfaces, sensor inputs, localization, mapping, safety systems, and other...