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Systems Software Engineer - Infrastructure

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$152k - $241.5k + equityFull-timePosted 2mo ago

About the role

Engineer who automates and builds tooling for GPU firmware infrastructure, focusing on automating workflows, CI/CD, build systems, test farms, and observability to accelerate NVIDIA's GPU firmware development.

Responsibilities

  • 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

Qualifications

  • BS or MS degree in EE/CS/CE (or equivalent experience)
  • 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

Skills

Required:CI/CDPythonLinux shellREST APIs / Web servicesSQL / PostgreSQL
Nice to have:Low-level embedded software / firmwareContainers / Kubernetes / IaC toolingAI-assisted development tools

Benefits

  • Equity
  • Benefits package (details at Nvidia benefits site)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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