Manager, Capacity Planning

NVIDIA•Santa Clara, CA

5d•$144,000 - $247,250

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking a dynamic leader to own our global capacity planning. This individual will lead the end-to-end capacity planning process across foundries and contract manufacturers sites. This position uniquely stands out by blending traditional supply chain management with advanced AI, champion the use of Generative AI, advanced optimization, and digital twins to improve resilience and capital efficiency! Join us to build and scale decision-making supported by Simulation and lead a high-performing capacity planning team.

Requirements

8+ overall years of related experience
2+ years of experience leading a team
Bachelor’s degree in engineering or related field (or equivalent experience)
Expertise in driving scenario planning and “what-if” analyses to evaluate trade-offs under demand, supply, and technology uncertainty.
Ability to translate sophisticated models into clear narratives and decisions for cross-functional and executive alignment.
Experience working with functional engineering groups and contract manufacturer management to generate up-to-date capacity planning data.
Capability to publish a long-range forecast aligned with the sourcing strategy, ensuring compliance, timeliness, and completeness.

Nice To Haves

Masters preferred

Responsibilities

Lead and mentor a team of roughly six industrial engineers, establishing key objectives that harmonize with supply chain and manufacturing goals.
Develop advanced capacity models and algorithms to pinpoint investment needs and risks across diverse product lines.
Integrate AI/ML techniques and automated scenario generation by partnering with data science teams.
Collaborate cross-functionally with Finance, Engineering, and IT to ensure all plans are actionable and aligned with business priorities.
Standardize workflows and metrics, such as utilization targets.
Work with IT to seamlessly integrate these planning models into enterprise systems like ERP, MES, and Anaplan.