Software Systems Engineering

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. NVIDIA's chip-design workflows coordinate long-running tools, generated design files, shared compute, and dependencies across engineering teams. We are building the software that makes these workflows repeatable, inspectable, and recoverable. Your primary focus will be workflow definitions, configuration models, and reusable tool interfaces. We work with workflow owners, chip-design specialists, and runtime engineers to deliver usable RTL-to-GDS workflows first, then extract reusable capabilities from those implementations. Runtime engineers own the underlying execution platform; this role builds the workflow software and integrations that use it.Build workflow definitions, dependency models, and configuration that engineers can understand. Improve existing Python, Go, Perl, Tcl, Make, and shell infrastructure through focused changes, compatibility tests, and staged rollout. Use AI development tools effectively. Review generated code, independently verify expected test results, and own the behavior shipped to users.What We Need To See:BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. 4+ years developing production software, or equivalent demonstrated scope.Strong programming in Go, Python, C++, Java, Rust, or another suitable language, with the ability to learn the team's languages. Demonstrate clear interfaces, state models, meaningful tests, and reasoned implementation tradeoffs.Experience with workflows, build systems, job execution, release systems, scientific or ML infrastructure, controllers, or other software that manages dependent work and persistent results.Concrete reasoning about retries, concurrent activity, incomplete outputs, process failure, and safe changes to systems already in useAbility to learn an unfamiliar domain, make implementation decisions independently, and carry a change through verification and delivery.Built schemas, configuration layering, compilers, build graphs, or APIs that other engineers successfully extended.Debugged long-running tools and shared compute using Linux processes, files, permissions, resource accounting, or equivalent runtime mechanisms.Relevant experience from build systems, scientific computing, HPC, or research tools can transfer to this role.​We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 12, 2026.NVIDIA uses AI tools in its recruiting processes.As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.SummaryLocation: US, CA, Santa ClaraType: Full time