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 www.nvidiabenefits.com/
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.
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+ 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.
- 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.
- Track record of reducing toil, improving SLOs, and turning operational work into automated systems.
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.”
