Senior Software Engineer, DGX Cloud Production Engineering

About the role

NVIDIA DGX Cloud is building and operating large-scale GPU infrastructure for AI research and production workloads. We are seeking Senior Software Engineers to support the development and operation of automation, tooling, and operational systems that ensure GPU clusters are reliable, scalable, and secure.

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.

Requirements

• 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.
• Bachelor's or Master's degree in Computer Science or equivalent experience.

Qualifications

• Experience with GPU infrastructure, Kubernetes operators, GitOps, Terraform, ArgoCD, or fleet automation.
• Experience with Service Level Objectives (SLOs), on-call, incident response, observability, and reliability practices.
• Exposure to Bare Metal as a Service (BMaaS), Virtual Machine as a Service (VMaaS), managed Kubernetes, or multi-cloud infrastructure.

Skills

• Proficiency in Python, Go, or similar programming languages.
• Experience with Kubernetes, Docker, and container orchestration.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience with GitOps and CI/CD pipelines.
• Understanding of GPU hardware and its integration into cloud environments.
• Experience with monitoring and logging tools like Prometheus, Grafana, ELK stack, etc.
• Good understanding of DevOps principles and practices.

Benefits

• Competitive base salary ranging from $184,000 to $287,500 for Level 4, and $224,000 to $356,500 for Level 5.
• Equity and comprehensive benefits package.

Pay

• Base salary range: $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5.

Schedule

• Full-time position.

Benefits

• Health insurance.
• Retirement plans.
• Flexible work arrangements.
• Professional development opportunities.

How to stand out

• 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.

Equal Opportunity Employer

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. We highly value diversity in our current and future employees.