Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leader in AI and high-performance computing, and they are seeking Senior Software Engineers to help build and operate large-scale GPU infrastructure for AI research and production workloads. The role involves developing automation, tooling, and operational systems to ensure GPU clusters are reliable, scalable, and safe to run.

Responsibilities

• 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

Skills

• 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
• BS/MS in Computer Science or equivalent experience
• Experience with GPU infrastructure, Kubernetes operators, GitOps, Terraform, ArgoCD, or fleet automation
• Experience with SLOs, on-call, incident response, observability, and reliability practices
• Exposure to BMaaS, VMaaS, managed Kubernetes, or multi-cloud infrastructure

Benefits

• You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

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