$176,000 – $333,500
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 design, build, and operate the Kubernetes platform that underpins their global network infrastructure, supporting deployment and management of network automation and telemetry services across data centers and cloud environments. This role suits someone with deep Kubernetes expertise and production infrastructure experience who enjoys end-to-end ownership and can work across distributed teams.
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
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
- 8+ years building or operating production Kubernetes platforms, network infrastructure, or distributed systems
- Deep Kubernetes expertise at scale including cluster lifecycle, upgrades, networking, storage, and recovery
- Proficiency in Go or Python
- Experience with GitOps, infrastructure as code, CI/CD, and automated production delivery
- Experience deploying and supporting network automation or telemetry services on Kubernetes
- Production on-call experience, incident response, root-cause analysis, and driving corrective actions
Nice to have
- Knowledge of IP routing, data center fabrics, and cloud networking
- Experience designing and operating large multi-region Kubernetes fleets with fleet-wide upgrades and recovery
- Hands-on experience with Cluster API and Metal3 for bare-metal provisioning and cluster lifecycle
- Experience building Kubernetes controllers or operators in Go with custom resources and reconciliation patterns
- Experience designing or operating network automation and telemetry services at global scale
- Open-source contributions to Cluster API, Metal3, or other Kubernetes infrastructure projects