Engineering Manager, DGX Cloud Production Engineering

at Nvidia

📍 World
📍 Canada
📍 United States

USD 224,000-356,500 per year

MIDDLE

✅ Remote

Used Tools & Technologies

Not specified

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Security @ 3 Kubernetes @ 3 Distributed Systems @ 3 Communication @ 6 Networking @ 3 SRE @ 3 Prioritization @ 6 GPU @ 3 Observability @ 3 AI @ 3

Details

NVIDIA DGX Cloud is building the operating model for reliable, scalable GPU infrastructure across internal, partner, and on-prem environments. This role leads a team of software and production engineers focused on Kubernetes-based operations, automation, reliability, and cluster lifecycle tooling. The manager will run current production systems while building automation and engineering practices for the next generation of DGX Cloud infrastructure.

Responsibilities

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.

Requirements

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

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.

Compensation & Benefits

Base salary range: 224,000 USD - 356,500 USD (determined based on location, experience, and pay of employees in similar positions).
Eligible for equity and benefits (see NVIDIA benefits information referenced in the posting).

Other information

Applications accepted at least until May 31, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer and provides a diverse work environment.