Engineering Manager, DGX Cloud Production Engineering
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.1
Reclaim your time by letting our AI handle the grunt work of job searching.
We continuously scan millions of openings to find your top matches.
Overview
Job Description
NVIDIA DGX Cloud is building the operating model for reliable, scalable GPU infrastructure across internal, partner, and on-prem environments. We are looking for an Engineering Manager to lead a team of software and production engineers focused on Kubernetes-based operations, automation, reliability, and cluster lifecycle tooling. This leader will help run today’s production systems while building the automation and engineering practices needed for the next generation of DGX Cloud infrastructure.
What you’ll be doing:
Lead a team of software and production engineers building and operating DGX Cloud infrastructure across NVIDIA Cloud Partner (NCP) and on-prem environments.
Drive execution across cluster operations, Kubernetes operability, automation, GitOps, observability, and incident response.
Help define team priorities, roadmap, staffing, and operational ownership.
Partner with platform, workload, storage, networking, security, and TPM teams to improve production readiness.
Build a healthy on-call and incident review culture focused on learning, ownership, and durable fixes.
Coach engineers, grow technical leaders, and create clear ownership across ambiguous problem spaces.
What we need to see:
8+ overall years of industry experience, including 2+ years leading or managing engineers.
Experience building or operating production infrastructure, cloud platforms, Kubernetes environments, or distributed systems.
Strong understanding of reliability engineering, automation, observability, incident response, and operational excellence.
Ability to work across teams and influence without direct authority.
Clear communication, strong prioritization, and sound judgment in fast-moving environments.
BS/MS in Computer Science or equivalent experience.
Ways to stand out from the crowd:
Experience leading SRE, production engineering, infrastructure automation, or platform teams.
Experience with GPU infrastructure, Kubernetes fleet operations, GitOps, BMaaS/VMaaS, managed Kubernetes, or multi-cloud environments.
Track record of reducing toil, improving SLOs, and turning operational work into software-driven systems.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
