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# Systems Software Engineer - Infrastructure

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automation of Tests, BIOS, Continuous Integration, Relational Databases, Software Debugging, DevOps, Programming Tools, Embedded Software, Firmware, Python (Programming Language), PostgreSQL, Unix Shell, Open Source Technology, Software Engineering, SQL Databases, Web Services, Pytest, Kubernetes, Build Tools, Restful APIs
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=65b9a449a8723079

## About the Role

* 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

Ways to stand out from the crowd:

 * 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

## Description

* 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


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