NVIDIA is seeking a creative and analytical Capacity Planner to join our Operations team and drive the scaling of our Boards & Systems manufacturing across all business units. In this cross-functional role, you will lead the weekly planning cycle, collaborate with Operations, Manufacturing, Supply Chain, Engineering, Finance, and Business Units, and leverage advanced analytical models to resolve capacity constraints, rationalize capital investments, and drive execution strategies for senior management.
What You'll Be Doing
- Run the weekly capacity planning cycle for Boards & Systems, including forecast ingestion, supply planning alignment, Contract Manufacturer (CM) and testing reviews, and preparation of planning outputs.
- Consolidate and validate core planning inputs (18-month forecasts, NPI consumption, SKU mappings, CM commits, yield data) across enterprise applications like Anaplan.
- Analyze required versus available capacity, identify bottlenecks, and perform scenario analysis using data models to drive risk mitigation strategies.
- Lead capital investment, decisions based on capacity requirements, rationalize forecast changes, and optimize volume loading across CMs to meet target supply and revenue goals.
- Coordinate workflows across Supply Planning, Business Units, Contract Manufacturers, Production Planning, Purchasing, Manufacturing/Test Engineering, Finance, and NPI in a multi-program platform environment.
- Partner with IT teams to integrate planning models with enterprise systems, establishing standardized workflows, data pipelines, and toolsets.
- Present clear, data-driven execution plans, operational risk insights, and mitigation strategies to senior management.
- Align with cross-regional teams (US, Israel, APAC) to maintain seamless operational execution and standardized planning frameworks.
What We Need to See
- 5+ years of experience in capacity planning, supply planning, or high-tech manufacturing operations aligned with weekly execution and multi-quarter forecasting.
- Prior experience in semiconductor, high-tech electronics, or server infrastructure manufacturing environments.
- Bachelor’s degree in Industrial Engineering, Operations, Manufacturing Management, Supply Chain, or equivalent technical experience.
- Strong proficiency in managing complex data using Excel, Anaplan, and enterprise tools.
- Solid grasp of AI systems, process design, and translating operational constraints into structured, data-driven solutions.
- Excellent cross-functional stakeholder management with the ability to influence matrixed teams, work within global time zones, and synthesize complex operational data for executive decision-making.
Ways to Stand Out from the Crowd
- Master’s degree (M.Sc. or MBA) in Industrial Engineering, Supply Chain, Operations Research, or Data Science.
- Hands-on experience with automated data pipelines, or machine learning models for supply chain optimization.
- Proven track record as a proactive problem solver thriving in fast-paced environments, capable of traveling to manufacturing sites when required.