Senior Software Engineer, DGX Cloud Production Engineering

NVIDIA Ltd.
Las Cruces, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 130K

Job location

Las Cruces, United States of America

Tech stack

API
Artificial Intelligence
Cloud Computing
Computer Clusters
Computer Programming
Software Debugging
Linux
Distributed Systems
Python
Cloud Platform System
Multi-Cloud
Git Flow
Kubernetes
Infrastructure Automation Frameworks
Information Technology
Operational Systems
Hardware Infrastructure
Terraform

Job description

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.

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.
  • BS/MS in Computer Science or equivalent experience.

Ways to stand out from the crowd:

  • 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 & conditions

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5., $100,000.00 per year

About the company

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hard-working people on the planet working for us. If you're creative, hard-working and self-motivated, we want to hear from you!

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