Senior Customer Technical Program Manager - AI Datacenter

Reposted 3 Days Ago
2 Locations
In-Office or Remote
160K-305K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Manage technical programs with Cloud Service Providers, ensuring project execution, integration of tools, and delivery of AI infrastructure. Engage cross-functional teams and communicate status to leadership.
Summary Generated by Built In

At NVIDIA, we are at the forefront of AI and accelerated computing, redefining the world's largest industries and creating a profound impact on society. As part of the Customer Program Management Team, you will lead strategic technical programs with Cloud Service Providers (CSPs), driving the deployment of NVIDIA’s innovative AI infrastructure. This role offers a groundbreaking opportunity to work with brand-new technologies, such as the powerful NVIDIA GB300 NVL72 platform, delivering unmatched data center-scale performance.

What you'll be doing:

  • Leading execution and technical engagement directly with CSPs and their ODM/OEM partners.

  • Integrating datacenter tools and operationalizing processes for AI factory build-out, resolving any blocking issues to keep projects on track.

  • Ensuring reliable assembly of groundbreaking AI infrastructure platforms by working closely with CSP’s ODMs or OEMs to meet specified metrics and schedules.

  • Assembling and guiding cross-functional teams, ensuring alignment and execution excellence.

  • Providing technical direction on server system building in collaboration with subject matter experts, and managing project timelines by proactively resolving blockers.

  • Ensure timely delivery of customer-specific features and production deployment.

  • Communicate program status, risks, and insights to senior leadership.

What we need to see:

  • Demonstrated experience in program/project management involving direct interaction with customers.

  • 8+ years of experience managing programs and projects involving direct engagement with customers.

  • Strong leadership skills in global, matrixed environments.

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

  • A solid track record of successfully managing complex, large-scale datacenter projects.

  • A willingness to continue learning new skills and growing capabilities as NVIDIA ventures into new markets.

Ways to stand out from the crowd:

  • Strong customer facing experience

  • Deep experience leading technical programs for CSPs.

  • Hands-on expertise in large-scale compute server build and deployment.

  • Strong cross-functional teamwork across globally distributed teams.

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, collaborative, 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 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until December 9, 2025.NVIDIA is committed to fostering a diverse 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.

Top Skills

Nvidia Gb300 Nvl72 Platform
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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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