Senior Software Engineer, DGX Cloud Production Engineering

Nvidia · Santa Clara, CA

senior Software Engineer ic · Posted May 18, 2026

About this role

Nvidia is hiring a senior-level Software Engineer based in Santa Clara, CA. The posting calls out experience with Kubernetes, Docker, Linux, Distributed Systems.

Role
Software Engineer
Function
software engineering
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Santa Clara, CA
Posted
May 18, 2026

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Job description

from Nvidia careers

NVIDIA DGX Cloud is building and operating large-scale GPU infrastructure for AI research and production workloads. We are looking for Senior Software Engineers to help build the automation, tooling, and operational systems that make GPU clusters reliable, scalable, and safe to run. This role is part of a production engineering team focused on Kubernetes-based infrastructure, GPU cluster operations, reliability, automation, GitOps, and Day 2 operability across DGX Cloud environments.

What you’ll be doing:

  • Build and operate automation for large-scale GPU clusters across NVIDIA Cloud Partners (NCP) and on-prem environments.

  • Develop tools and services for provisioning, validation, upgrades, monitoring, repair, and cluster lifecycle operations.

  • Improve Day 0 / Day 1 / Day 2 workflows for cluster bringup, handoff, and production operations.

  • Reduce manual production touches through APIs, GitOps, automation, and agent-assisted workflows.

  • Participate in on-call, incident response, debugging, and durable follow-up work.

  • Partner with platform, storage, networking, security, and workload teams to make infrastructure production-ready.

What we need to see:

  • 8+ years of experience building or operating production infrastructure.

  • Strong programming skills 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 ability to work across teams.

    This is an excerpt. Read the full job description on Nvidia careers →
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