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Work arrangement: remote. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by NVIDIA; category and skill labels may be inferred. How our listings work · Report a problem
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 an inclusive 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.Skills mentioned
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Frequently asked questions
Is the Engineering Manager, DGX Cloud Production Engineering position at NVIDIA remote?
Yes. The Engineering Manager, DGX Cloud Production Engineering role at NVIDIA is a remote position. Country eligibility is not specified here; check the employer listing.
What type of employment is the Engineering Manager, DGX Cloud Production Engineering role?
NVIDIA is hiring for a full-time Engineering Manager, DGX Cloud Production Engineering position.
Which skills are mentioned for the Engineering Manager, DGX Cloud Production Engineering job at NVIDIA?
Detected skill labels include Kubernetes, Distributed Systems, GPU. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the Engineering Manager, DGX Cloud Production Engineering position at NVIDIA?
You can apply for the Engineering Manager, DGX Cloud Production Engineering role directly through NVIDIA's official application link provided on this page.
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