NVIDIA
Technology
SeniorSystemsSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Systems Software Engineer at NVIDIA. Skills: Systems Software Engineering, AI-driven workflows, Robotics platforms. Design, implement, and own scalable software. Contribute to software architecture”
Industry & Context.
turning complex problems into simple, robust solutions
What They're Looking For.
Must Have
8+ years of experience building software systems in C++, Python, Rust, Go, or similar languages, software design and architecture skills, Ability to operate as a self-sufficient senior engineer, 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, grounding in engineering practices including unit and integration testing, code review, CI/CD, and observability
Nice to Have
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, Practical experience building or integrating robotics systems, Experience crafting or deploying AI coding agents or LLM-based developer tools, Contributions to open source, technical writing, internal platform efforts, or other work that demonstrates technical leadership and engineering judgment, Interest in robotics, simulation, or autonomous hands-on experience with robotics platforms, middleware such as ROS, or NVIDIA robotics stacks
What You'll Do.
and own scalable software
Contribute to software architecture
Help define projects and execution plans
Provide technical leadership
Operate effectively in ambiguous spaces
Build and iterate on AI-assisted development workflows
Collaborate with robotics and simulation teams
Contribute to engineering practices
How You'll Work.
Team & Collaboration
Provide technical leadership to a team or multi-functional group; Collaborate with robotics and simulation teams
Process & Methodology
Help define projects and execution plans, clarifying scope, identifying dependencies and tradeoffs, translating broad goals into actionable technical work
Full Job Description
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 clarif
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