Chip Master Capacity Planner

NVIDIA•Santa Clara, CA

About The Position

At NVIDIA, our employees are passionate about powering AI in every industry. We're united in our quest to transform the way AI is used for work and play. Our technology impacts everything from the visual experience in video game development, film production, and space exploration, to deep learning in robotics, medicine, computational finance and automotive design. And we've only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-working, and creative people to help us take on some of these extraordinary opportunities.

Requirements

Bachelor’s degree in Industrial Engineering, Supply Chain, Operations, or a related field (or equivalent experience); Master’s is a plus
5+ years of relevant experience.
Shown expertise in capacity planning, forecasting, and deploying advanced planning tools like Anaplan or Ops Data Platform.
Strong analytical, problem-solving, and scenario planning skills with the ability to navigate complexity and ambiguity.
Effective collaborator and communicator, experienced in working with cross-functional teams and external manufacturing partners.

Nice To Haves

Experience working with contract manufacturers and handling multi-site capacity.
Familiarity with semiconductor or hardware production planning processes.
Expertise in scenario planning and long-term forecasting.

Responsibilities

Lead the implementation of automated planning systems (Anaplan and Ops Data Platform), driving process standardization and team efficiency.
Define planning requirements, handle project timelines, and enable cross-functional adoption through training and collaboration.
Own capacity planning across multiple manufacturing sites, including demand alignment, site balancing, and scenario analysis.
Develop and maintain an 18-month forecast in partnership with Supply Planning, accounting for product ramps and shifting customer demand.
Partner with Engineering and OSAT teams to ensure equipment readiness, optimize factory layouts, and mitigate capacity risks.
Finalize and communicate production plans across sites, driving alignment between supply, demand, and operational constraints.