Senior Materials Inventory Analyst

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

This role focuses on inventory management and procurement within the semiconductor industry, leveraging AI/ML and Agentic AI for risk detection, root cause analysis, and scalable inventory management. The primary artifact is improved inventory management processes and risk mitigation, which can be considered a form of data engineering or applied AI within an enterprise context.

What you'd actually do

  1. Own end-to-end Excess & Obsolete (E&O) inventory management across global CMs, including identification, validation, mitigation, and disposition
  2. Partner with CM teams to validate inventory exposure, drive accountability, and ensure accuracy, compliance, and alignment to turnkey policies and financial governance
  3. Analyze root causes of excess (e.g., forecast shifts, build changes, MOQ constraints) and drive corrective actions to reduce financial risk
  4. Lead audits and ensure alignment of on-hand and on-order inventory to reported positions
  5. Track, analyze, and communicate inventory health, E&O trends, risks, and recovery progress

Skills

Required

  • Bachelor’s or MBA (or equivalent experience) with 8+ years of experience in semiconductor supply chain, procurement, or inventory management
  • deep expertise in E&O/liability management and CM operations (PCBA required)
  • Ability to drive accountability, influence outcomes, and collaborate cross-functionally with Procurement, Finance, and global CM partners
  • Data-driven problem solver with advanced analytical and modeling capabilities
  • Strong understanding of data quality, governance, and structured data frameworks

Nice to have

  • experience applying AI/ML or Agentic AI to solve supply chain or financial risk challenges

What the JD emphasized

  • Agentic AI
  • advanced analytics
  • AI/ML or Agentic AI