NVIDIA is looking for a Senior Technical Program Manager to partner with Production Engineering and drive execution across critical DGX Cloud initiatives. This role is ideal for a senior TPM who thrives in highly technical environments and can help scale the systems, processes, and cross-team coordination required to deliver reliable AI infrastructure in production. You will connect engineering priorities to execution, improve readiness and operational rigor, and lead complex programs from planning through delivery.
What you’ll be doing
- Partner with Production Engineering leaders and technical leads on high-priority infrastructure and platform programs.
- Define and drive program charters, schedules, milestones, ownership models, and success criteria for complex technical initiatives.
- Lead cross-functional execution across engineering, operations, reliability, and partner teams.
- Improve program governance, readiness reviews, risk tracking, escalation handling, and leadership visibility.
- Build repeatable frameworks that strengthen execution quality across production engineering programs.
- Identify gaps in ownership, process, or decision-making and drive practical improvements.
- Help teams align on priorities, technical dependencies, and delivery tradeoffs.
- Support programs related to production readiness, operational scale, automation, and reliability.
- Communicate program status, risks, and recommendations clearly to both technical and leadership audiences.
What we need to see
- 12+ years of technical program management experience in production engineering, infrastructure software, cloud platforms, or related domains.
- Strong record of leading large, cross-functional technical programs with operational impact.
- Experience building execution structure in ambiguous or fast-moving environments.
- Ability to work credibly with engineering leaders on readiness, reliability, automation, and production operations.
- Demonstrated success improving delivery predictability through better planning, governance, and cross-team coordination.
- Strong communication and stakeholder management skills across technical and business audiences.
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
Ways to stand out from the crowd
- Experience in production infrastructure, cloud operations, platform engineering, or site reliability.
- Background in large-scale Kubernetes, distributed systems, or infrastructure automation.
- Experience building new operating models or execution frameworks in growing organizations.
- Ability to combine strategic thinking with deep execution discipline.
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 200,000 USD - 322,000 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
- 12+ years of technical program management experience in production engineering, infrastructure software, cloud platforms, or related domains
- Experience leading large, cross-functional technical programs with operational impact
- Experience building execution structure in ambiguous or fast-moving environments
- Ability to work credibly with engineering leaders on readiness, reliability, automation, and production operations
- Demonstrated success improving delivery predictability through planning, governance, and cross-team coordination
- Strong communication and stakeholder management skills across technical and business audiences
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
- Experience in production infrastructure, cloud operations, platform engineering, or site reliability
- Background in large-scale Kubernetes, distributed systems, or infrastructure automation
- Experience building new operating models or execution frameworks in growing organizations
- Ability to combine strategic thinking with deep execution discipline
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.”
