
Engineering Manager, DGX Cloud Production Engineering
At a glance
Highlights
- Remote work within the United States
- Competitive salary range
- Equity and benefits
Heads up
- On-call responsibilities
Why this role might suit you
A seasoned engineering leader with strong production and Kubernetes expertise will thrive guiding a multi‑disciplinary team to build reliable GPU‑focused cloud infrastructure, while shaping automation, observability, and on‑call culture.
Skills
About the role
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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 31, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
Compensation
This Engineering Manager role pays $224k-$357k/yr. Within typical range for engineering manager roles in United States.
Questions about this role
How do I apply to this Engineering Manager, DGX Cloud Production Engineering role at NVIDIA?
Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.
What's the typical salary for Engineering Manager in United States?
Compensation for Engineering Manager roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Engineering Manager hub for United States medians across recent openings.
How fast does AI Applyd auto-apply?
Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.
What ATS does NVIDIA use?
AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.
Want AI Applyd to auto-apply to roles like this?
We tailor your resume per posting, fill the forms, and track replies for you.