Factory Planner, Inventory Control

NVIDIA NVIDIA · Semiconductors · Vietnam +1 · Remote

This role focuses on inventory control and accuracy within a manufacturing environment, leveraging data, automation, and AI tools to improve processes. The primary responsibilities include ensuring inventory accuracy, leading reconciliations, managing data interfaces, and driving digitalization initiatives. The role requires experience with SAP, EDI, and working with contract manufacturers, with a preference for candidates who have used AI or automation to enhance productivity.

What you'd actually do

  1. Own end‑to‑end inventory accuracy for consigned materials, SFG, FG, and bone‑pile inventory across assigned CMs, ensuring compliance with NVIDIA policies, audits, and SOX requirements.
  2. Lead regular book‑to‑book (B2B) reconciliation between NVIDIA SAP and CM ERP systems, driving root‑cause analysis and corrective/preventive actions for inventory variances.
  3. Act as the primary owner of EDI/B2B interfaces, monitoring GR/GI, consumption, and adjustment transactions, and resolving data mismatches related to timing, execution, or master data issues.
  4. Drive digitalization and AI‑enabled analytics (dashboards, RPA, exception detection, reconciliation automation) to improve inventory accuracy, B2B health, and operational efficiency.
  5. Proactively identify inventory and execution risks impacting production, OTD, and financial exposure, and lead continuous improvement initiatives supported by clear KPIs and metrics.

Skills

Required

  • 5+ years of experience in inventory control, supply chain operations, or factory planning
  • Strong hands‑on experience as a SAP inventory key user
  • Solid understanding of book‑to‑book reconciliation and EDI (B2B) processes with CMs
  • Experience working with contract manufacturers in electronics manufacturing
  • Experience leveraging data, automation, or emerging digital tools (including AI‑enabled solutions) to improve work efficiency, accuracy, or decision‑making
  • Strong analytical, problem‑solving, and cross‑functional collaboration skills
  • Fluent in written and spoken English

Nice to have

  • Demonstrated hands‑on practice using AI or automation to boost personal or team productivity
  • Experience with SQL, Python, Power BI/Tableau, RPA, or AI‑driven analytics tools

What the JD emphasized

  • SOX requirements
  • AI tools
  • automation
  • AI-enabled analytics