Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Communication @ 7
Leadership @ 7
Project Management @ 7
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
We're looking for a Senior Customer Program Manager to lead technical programs for NVIDIA's strategic partners, including cloud service providers, hyperscalers, and their OEM/ODM partners. The role sits at the intersection of engineering, operations, and customer engagement and focuses on bringing AI infrastructure to life at scale.
Responsibilities
- Define program schedules, deliverables, and key milestones aligned with customer and partner requirements.
- Translate customer requirements into actionable plans across engineering, quality, logistics, and sales, and drive issues to resolution.
- Lead cross-functional teams through high-priority issues and align globally dispersed teams around shared objectives.
- Represent NVIDIA to customers by leading program kickoffs, technical deep dives, design reviews, issue and bug tracking, qualification and validation efforts, and lifecycle status updates.
- Drive program execution from early design through production deployment, ensuring timely delivery, quality, and customer acceptance.
- Lead post-deployment sustaining support and manage critical customer issues.
- Monitor factory production schedules, yields, and blockers in partnership with ODMs and contract manufacturers.
- Communicate program health, risks, and key issues to customers, internal partners, and leadership across hardware, software, operations, business, quality, sales, and product teams.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, 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.
- Experience working with hyperscalers and their OEM/ODM partners on AI factory build-outs.
- Proven experience leading complex, global programs from concept through deployment and production.
- Strong program management, communication, organizational, interpersonal, and cross-functional alignment skills.
- Ability to coordinate across global teams and work effectively in multicultural, multinational environments.
- Ability to explain complex technical concepts to audiences ranging from engineers to executives.
- Willingness to travel up to 5% as required.
Preferred Qualifications
- Experience running end-to-end hardware and software product development and datacenter deployment.
- Experience deploying accelerated computing platforms at scale.
- Strong leadership in matrixed collaboration, conflict resolution, and consensus-building.
- Expertise managing production schedules, optimizing line yields, and resolving field quality challenges.
- Adaptability to ambiguity, rapid change, and matrixed team structures.
Benefits
- Equity and employee benefits.
- NVIDIA is an equal opportunity employer committed to an inclusive work environment.
- Applications will be accepted at least until July 24, 2026.
- NVIDIA uses AI tools in its recruiting processes.
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