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Aurora

Robot type
Autonomous Vehicle
Location
PittsburghPennsylvaniaUSA
Job type
Manufacturing
Posted
Oct 8, 2026
Salary
$30–$42 an hour
Full-time

Inventory Specialist

Job description

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

Job responsibilities

  • Execute shipping and receiving operations for all inbound and outbound materials.
  • Perform picking, packing, and staging of materials to support production workflows and outbound deliveries.
  • Collaborate with Manufacturing, R&D, and Fleet departments to fulfill inventory requests and maintain uninterrupted supply.
  • Conduct regular cycle counts and investigate and reconcile inventory discrepancies in a timely manner.
  • Maintain, organize, and replenish kanban areas within the manufacturing environment to support lean operations.
  • Enter, update, and manage inventory records in the organization's ERP system, ensuring data accuracy and completeness.
  • Utilize Google Sheets and Google Workspace tools (Docs, Drive, Gmail, etc.) to support inventory tracking, reporting, and interdepartmental communication.
  • Operate a box truck (16 ft or larger) to facilitate material transport as required.

Job requirements

  • Minimum of one (1) year of experience working in a warehouse or large-scale inventory environment.
  • Minimum of one (1) year of hands-on experience with ERP systems; experience with NetSuite is strongly preferred.
  • Demonstrated proficiency with Google Sheets and Google Workspace applications (Docs, Drive, Gmail, etc.).
  • Minimum of one (1) year of experience operating forklifts, pallet jacks, and other standard warehouse equipment.
  • Minimum of one (1) year of experience driving a box truck 16 ft or larger; a valid driver's license is required.
  • Ability to safely lift, carry, and move materials in a warehouse setting in accordance with established safety guidelines.
  • Experience with NetSuite or comparable enterprise inventory management platforms.
  • Familiarity with lean manufacturing principles, including kanban and 5S methodologies.

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