NVIDIA has an outstanding opportunity for a Materials Planning Manager to join our Procurement Management team in Yokneam, IL. This role offers an exceptional chance to be at the forefront of transforming our supply chain into a digitally optimized operation. You will drive cross-functional initiatives that improve execution and strengthen coordination across the materials supply chain
What You Will Be Doing:
Coordinate the end-to-end materials planning management for new product introductions (NPI) from initial concept to production launch.
Ensure material readiness to support program achievements, including production ramp-up, and full-scale manufacturing.
Work closely with Engineering to ensure Bill of Materials (BOM) accuracy and risk-buy readiness align with program requirements.
Proactively address material shortages, lead times, and supplier constraints to mitigate supply chain risks.
Develop and implement materials and supply chain strategies to ensure supply readiness and support delivery objectives.
Establish and monitor critical metrics, using digital dashboards for real-time tracking of materials readiness and supply versus demand performance.
Collaborate cross-functionally with Planning and Business Units to drive demand analysis and long-range forecasting across NPI and high-volume production portfolios
Drive innovation in supply chain analytics by deploying BI and AI solutions to improve CM reporting accuracy, strengthen supply–demand alignment, and enable predictive, insight-based decision-making
What We Need To See:
B.Sc. in Industrial Engineering , related field or equivalent experience (master’s degree preferred).
Minimum of 5+ overall years of experience in materials management, procurement, or supply chain management within a semiconductor OEM environment.
Strong understanding of supply chain processes, NPI cycles, and material planning systems.
Strong technical knowledge of semiconductor materials and contract manufacturing processes.
Excellent communication, negotiation, and leadership skills.
Strong understanding of ERP/MRP systems, tools driven by artificial intelligence, and platforms for analyzing supply chain data.
Ability to thrive in a fast-paced, dynamic environment and effectively prioritize tasks.
Experience with agentic AI systems in supply chain applications is preferred.