NVIDIA has an outstanding opportunity for a Materials Planning Management 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.
Skills Required
- B.Sc. in Industrial Engineering or related field or equivalent experience
- Minimum of 5+ overall years of experience in materials management, procurement, or supply chain management
- 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 and tools driven by artificial intelligence
- Experience with agentic AI systems in supply chain applications
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
