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.
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.
