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 Required
- 8+ years of industry experience
- 2+ years leading or managing engineers
- Experience with production infrastructure or cloud platforms
- Strong understanding of reliability engineering and automation
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
