Engineering Manager, DGX Cloud Production Engineering

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.Ready to join a team that's pushing the boundaries of GPU infrastructure and cloud computing? At NVIDIA, we're at the forefront of innovation, crafting powerful technology that powers everything from AI to self-driving cars. Our DGX Cloud Production Engineering team is looking for an Engineering Manager to lead a dynamic group of engineers. This is an outstanding opportunity to be part of a collaborative environment where innovation meets world-class engineering.What you'll be doing:Leading a team of software and production engineers in building and operating the DGX Cloud infrastructure across NVIDIA Cloud Partner (NCP) and on-prem environments.Driving execution in cluster operations, Kubernetes operability, automation, GitOps, observability, and incident response.Defining team priorities, roadmap, staffing, and operational ownership.Partnering with platform, workload, storage, networking, security, and TPM teams to improve production readiness.Encouraging a healthy on-call and incident review culture focused on learning, ownership, and durable fixes.Mentoring engineers, growing technical leaders, and crafting clear ownership across ambiguous problem spaces.What we need to see:8+ overall years of industry experience, including 2+ years leading or managing engineers.Proven experience in 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 effectively across teams and influence without direct authority.Clear communication, strong prioritization, and good judgment in fast paced 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.Familiarity with GPU infrastructure, Kubernetes fleet operations, GitOps, BMaaS/VMaaS, managed Kubernetes, or multi-cloud environments.A track record of reducing toil, improving SLOs, and turning operational work into automated systems.Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family 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 August 1, 2026.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.SummaryLocation: US, CA, Remote; US, TX, Remote; US, WA, RemoteType: Full time