- BS or MS degree in EE/CS/CE (or equivalent experience)
- 12+ years of infrastructure, platform, DevOps, or SRE engineering
- Deep expertise in modern CI/CD and test automation architecture: pipeline design, build system internals, caching, testing frameworks, and the failure modes for architectures that only appear at scale
- Strong Python fluency, infrastructure-as-code experience, and scripting ability
- History in distributed systems, cloud or on-prem compute fleets, containers, and orchestration (K8s or equivalent)
- Strong understanding of database concepts, schema design, object modeling, SQL or non-SQL
- Past ownership of cross-org production system(s) and all the lessons you've learned from supporting them
- Outstanding communication, leading, and teaching skills: the ability to articulate WHY a solution is correct, write clear requirements, review critically, and guide others to understanding
- History of growing other engineers, formally or informally
Ways to stand out from the crowd
- Sense of humor heavily encouraged, but not required
- Track record of writing technical proposals, design docs, or architecture decisions that others have acted on independently
- Experience using AI-assisted development tools: knowing when to trust, when to verify, and when to throw away the output
- Experience in developing device BIOS, firmware, or other low-level embedded software
- Pride and passion evident in your work
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.