$184,000 – $287,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA is seeking a senior engineer to build automation and tooling for their GPU cluster infrastructure, focusing on Kubernetes operations, reliability, and Day 2 operability across cloud and on-premises environments. This role suits someone with substantial production infrastructure experience who wants to work on large-scale distributed systems in AI computing.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 8+ years building or operating production infrastructure
- Strong programming in Python, Go, or similar
- Experience with Linux, Kubernetes, containers, cloud infrastructure, or infrastructure automation
- Ability to troubleshoot distributed systems in production
- Clear communication and cross-team collaboration
- BS/MS in Computer Science or equivalent experience
Nice to have
- GPU infrastructure experience
- Kubernetes operators
- GitOps tooling
- Terraform
- ArgoCD
- Fleet automation
- SLOs, on-call, and incident response experience
- Observability and reliability practices
- Exposure to BMaaS, VMaaS, managed Kubernetes, or multi-cloud infrastructure