System Software Engineer - Infrastructure

Build, supervise, and improve the core infrastructure our firmware teams run on: build systems, regression farms, CI/CD pipelines, developer tooling, and the frameworks and web services that sit on top of them

Debug and resolve issues across hardware, software, infrastructure, and team processes - solving not just the present problem, but for that entire class of issue in the future

Invent and build AI-powered workflows that scale to multiply your own, your team's, or the whole company's output

Learn, document, and automate processes, services, and tooling for teams via many internal-facing and external-facing projects

Seek out, identify and eradicate toil company-wide by growing your ideas for improvements from a proof-of-concept to fully shipped and scalable solutions

BS or MS degree in EE/CS/CE (or equivalent experience) and 5+ years of software, infrastructure, DevOps, or SRE engineering

Hands-on experience with modern CI/CD and test automation: architecting and debugging pipelines, working inside the frameworks that orchestrate the tests (pytest or equivalent)

History in, or curiosity about device BIOS, firmware, or other low-level embedded software, and interest in building tooling for the engineers who write it

Solid understanding of the services and data behind infrastructure: web services, REST APIs, relational databases and schema design (SQL, PostgreSQL)

Scalability thinking

Strong Python and comfort working in Linux shell environments

Strong communication skills: ability to articulate the sharp questions, write clear requirements, review critically, and explain trade-offs

Exceptional interpersonal and empathy skills, and the curiosity to match as you’ll work closely with both hardware and software engineers to design, develop, and debug process and tooling enhancements

Sense of humor heavily encouraged, but not required

A side project, open source contribution, or internal tool you built because something annoyed you enough

Track record of writing clear technical proposals, design docs, or architecture decisions that others have acted on independently

Experience with containers, orchestration, or infrastructure-as-code tooling (K8s)

Experience using AI-assisted development tools: knowing what's trustworthy, when to be diligent, and when to throw away the output

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/