Senior Systems Software Engineer Jobs (NOW HIRING)

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for a Senior Systems Software Engineer to help build the next generation of AI-driven developer and robotics workflows at NVIDIA. In this role, you will contribute not only as a strong software engineer, but also as a technical leader who can help define software direction, shape architecture, scope and frame projects, and guide execution from early design through delivery. Depending on the area, you may direct a team or drive work independently in a self-directed way.

We are the team that connects the dots across NVIDIA's software stack, from cloud services and AI agents to robotics platforms. We develop and build the tooling and integrations that power modern, AI-assisted development workflows and robotic applications. If you like working at the intersection of AI, cloud infrastructure, and real-world systems, and enjoy turning complex problems into simple, robust solutions, you'll feel at home here.

What you'll be doing:

• Design, implement, and own scalable, high-performance software libraries, features and services across the stack.

• Contribute to software architecture and technical design across multiple components and frameworks, with an emphasis on robustness, flexibility, and long-term maintainability.

• Help define projects and execution plans by clarifying scope, identifying dependencies and tradeoffs, and translating broad goals into actionable technical work.

• Provide technical leadership to a team or multi-functional group by guiding implementation, reviewing design and code, and helping drive progress against timeline and strategy.

• Operate effectively in ambiguous spaces, making sound technical decisions and moving work forward with a high degree of autonomy when needed.

• Build and iterate on AI-assisted development workflows, including code generation, refactoring, CI/CD automation, and practical use of coding agents in real engineering environments.

• Collaborate with robotics and simulation teams to integrate services and tools into robotics workflows and, where relevant, extend platforms such as Isaac or ROS.

• Contribute to strong engineering practices around testing, code review, documentation, observability, reliability, and operational quality.

What we need to see:

• Bachelor's in Computer Science, Engineering, or a related field, or equivalent experience along with 8+ years of experience building software systems in C++, Python, Rust, Go, or similar languages!

• Strong software design and architecture skills, including the ability to reason across component boundaries and define clean, scalable interfaces.

• Validated ability to lead technically: shaping designs, driving project definition, guiding implementation, and helping teams implement effectively.

• Ability to operate as a self-sufficient senior engineer in areas that may initially be ambiguous or loosely defined.

• Experience integrating multiple systems, frameworks, or services into cohesive end-to-end solutions.

• Exposure to cloud-native development such as containers, Kubernetes, Helm, or similar technologies.

• Demonstrated interest in AI coding agents, LLM-powered tools, or modern AI-assisted development workflows.

• Interest in robotics, simulation, or autonomous systems; hands-on experience with robotics platforms, middleware such as ROS, or NVIDIA robotics stacks is a plus.

• Strong grounding in engineering practices including unit and integration testing, code review, CI/CD, and observability.

Ways to stand out from the crowd:

• Strong understanding and direct experience of distributed systems, containers, cloud-connected services, or Kubernetes!

• Experience serving as the technical lead for a project, subsystem, or small team, including ownership of design direction and delivery.

• Practical experience building or integrating robotics systems, whether in simulation, perception, control, runtime, or fleet tooling.

• Experience crafting or deploying AI coding agents or LLM-based developer tools, such as plugins, internal tools, or research prototypes.

• Contributions to open source, technical writing, internal platform efforts, or other work that demonstrates technical leadership and engineering judgment.

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/

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.