Engineering Product Manager
NVIDIA· Engineer, Sys Design
Santa Clara, CA$168k - $258.8kfull-timePosted 1w ago
About the role
Engineering Product Manager to develop products for AI, high performance computing, and other datacenter markets at NVIDIA.
Responsibilities
- Collaborate with senior leaders to develop product strategies and development plans for datacenter products and power solutions. Own programs from concept and design through bring-up, validation, and mass production.
- Engage with JDM partners as an extension of the engineering team to achieve the highest levels of product performance and quality. Align all parties with clear requirements and timelines.
- Develop, supervise and refine product execution plans included staffing, schedules, contingencies. Test all plans against precision.
- Continually identify and communicate the most critical priorities on the project. Align and lead a multi-functional team to complete those priorities.
- Champion excellence, continuous process improvement, including automation and corrective actions.
Qualifications
- 10+ years of overall experience with 5 years of leadership experience within the industry
- Bachelors degree or equivalent experience
- Clear understanding of technical and logistic challenges that need to be met to deliver industry leading power solutions or server platforms
- Ability to empower and lead a multi-functional team to tackle sophisticated System/HW/SW integration challenges
- Excellent verbal, written and presentation communications skills, organizational capabilities, and collaborative and interpersonal skills
- Collaboration experience with suppliers, development partners, and customers from product definition through mass production
- Ability to multi-task and drive complex programs
Skills
Required:Product strategyLeadershipProgram management
Benefits
- equity
- comprehensive benefits package
Last updated Oct 16, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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