Senior Customer Technical Program Manager - AI Datacenter

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Santa Clara, CA, USA
In-Office or Remote
168K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead technical programs with hyperscalers and OEM/ODMs to deliver AI datacenter infrastructure from design through production. Define schedules and milestones, translate customer requirements into cross-functional plans, resolve issues, manage qualification/validation, monitor factory production and yields, and communicate program health to customers and leadership. Champion post-deployment sustaining support and coordinate global teams to ensure timely delivery and customer acceptance.
Summary Generated by Built In

We're looking for a Senior Customer Program Manager to lead the charge on technical programs for some of NVIDIA's most strategic partners to build exceptional customer relationship. As a core member of the Customer Program Management team, you'll work with the world's largest cloud service providers, hyperscalers, and their OEM/ODM partners to bring AI infrastructure to life at unprecedented scale. This role lives at the exciting intersection of engineering, operations, and customer engagement. We're looking for someone who brings deep technical program management skills, a strong engineering background, and a love for fast-paced environments where success comes down to tight alignment, sharp judgment, and great partnership.

What you'll be doing:

  • Define program schedules, deliverables, and key milestones, keeping them tightly aligned with customer and partner requirements.

  • Translate customer requirements into clear, actionable plans across engineering, quality, logistics, and sales. And drive issues to resolution before they become roadblocks.

  • Lead horizontally across cross-functional teams, navigating high-priority critical issues and rallying globally dispersed teams around a shared set of objectives.

  • Serve as the face of NVIDIA to the customer, leading program kick-offs, technical deep dives, design reviews, issue and bug tracking, qualification and validation efforts, and status updates throughout the product lifecycle.

  • Drive program execution from early design through production deployment, ensuring timely delivery, exceptional quality, and customer acceptance.

  • Champion post-deployment sustaining support, acting as case manager for the issues that matter most.

  • Monitor factory production schedules, yields, and blockers, partnering closely with ODMs and contract manufacturers to crush issues and hit operational targets.

  • Communicate program health, risks, and key issues proactively to customers, internal partners, and leadership across Hardware, Software, Operations, Business, Quality, Sales, and Product teams—keeping everyone aligned while moving at full speed.

What we need to see:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.

  • 8+ years of program or project management experience in the IT industry.

  • Strong technical background in hardware and/or software engineering, with experience working closely with hyperscalers and their OEM/ODMs on AI factory build-outs.

  • A proven track record of leading complex, global programs from concept through deployment and production.

  • Outstanding program management, communication, and organizational skills, prioritizing the right issues and driving cross-functional alignment.

  • Demonstrated ability to coordinate across global teams and navigate multi-cultural, multinational business environments with ease.

  • Excellent interpersonal skills, with a talent for distilling complex technical concepts for any audience, from engineers to executives.

  • Willingness to travel as required (up to 5%) and a love for fast-paced, dynamic environments.

Ways to stand out from the crowd:

  • Track record running end-to-end hardware and software product development and datacenter deployment.

  • Prior experience with deploying accelerated computing platform at-scale

  • Strong leadership in matrixed collaboration, conflict resolution, and consensus-building.

  • Proven expertise managing production schedules, optimizing line yields, and resolving complex field quality challenges.

  • Demonstrated success in dynamic, high-growth environments, with proven adaptability to ambiguity, rapid change, and matrixed team structures.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 5, 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.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent experience
  • 8+ years of program or project management experience in the IT industry
  • Strong technical background in hardware and/or software engineering
  • Experience working closely with hyperscalers and their OEM/ODMs on AI factory build-outs
  • Proven track record of leading complex, global programs from concept through deployment and production
  • Outstanding program management, communication, and organizational skills
  • Demonstrated ability to coordinate across global, multi-cultural teams
  • Excellent interpersonal skills and ability to distill complex technical concepts for any audience
  • Willingness to travel as required (up to 5%)
  • Track record running end-to-end hardware and software product development and datacenter deployment
  • Prior experience deploying accelerated computing platforms at-scale
  • Strong leadership in matrixed collaboration, conflict resolution, and consensus-building
  • Proven expertise managing production schedules, optimizing line yields, and resolving field quality challenges
  • Demonstrated success in dynamic, high-growth environments and adaptability to ambiguity

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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