P

Physical Intelligence

Develops AI-driven robotic systems for industry

Fleet Inventory Specialist

Inventory Control & Cycle CountingPosted on Nov 10
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 2 years of inventory, stockroom, or materials experience in a lab, manufacturing, or field service environment, including operating an inventory system and performing cycle counts.
  • Ability to identify robot arms, connectors, cables, and fasteners by part number, and understand the importance of part numbers.
  • Knowledge of packing lists, purchase orders, labeling, and return merchandise authorizations.
  • Spreadsheet fluency, including lookups, pivots, and creating clear, readable spreadsheets.
  • Ability to maintain count accuracy and record a reason for every variance.
  • Ability to lift and move stock between sites and spend most of the day on the floor.

Responsibilities

  • Own the inventory system for all technician team stock, maintaining one record per part with part number, description, site and bin location, quantity on hand, minimum, maximum, and source.
  • Set minimum and maximum stock levels per site with shift leads, and reorder before a part reaches its minimum level.
  • Run weekly cycle counts on high-turn parts and monthly full counts on robot arms and high-value items, reconciling each variance with a recorded reason.
  • Receive each shipment on the day it arrives, verify it against the order, label it, and put it away in the correct bin at the correct site.
  • Receive PiBuild arm shipments, log serial numbers, and stage arms for the shift that needs them.
  • Report short shipments, damage, and incorrect parts to the lab manager and vendor on the same day.
  • Keep every site stocked to minimum, run transfers on the site shuttle, and log each move so the system matches the shelf.
  • Build and maintain shift kits and site toolboxes against a published tool list, audit them on a set cadence, and replace missing items.
  • Keep bins, labels, and shelf locations consistent across sites so technicians find parts in the same places.
  • Manage the rework and return queue for broken arms, failed parts, and vendor returns, tracking each item with a serial number, reason, and destination.
  • Ship reworked arms and returns to PiBuild or the vendor on schedule, ensuring no item remains in the queue longer than two weeks.
  • Track returned items so an arm re-enters stock on the day it arrives.
  • Consolidate team reorders, place orders within set limits, and route orders above those limits to the lab manager.
  • Track lead times by part and vendor, and flag long-lead items before they become stockouts.
  • Compare stocked parts against the bill of materials and report gaps to engineering.
  • Deliver weekly stock reports to the lab manager and shift leads covering items below minimum, stockouts, inbound items, and rework queue age, and provide a monthly spend view by category.

Desired Qualifications

  • Experience with an enterprise resource planning or materials requirements planning system.
  • Forklift certification.
  • Familiarity with robotics or automation hardware.
  • Experience using the Linear ticketing system.

About the Company

Physical Intelligence

Develops AI-driven robotic systems for industry

Physical Intelligence develops AI-powered robotic systems by creating general-purpose AI models and learning algorithms to control physically actuated devices in the real world, serving industries like manufacturing, healthcare, and logistics. Its approach uses foundational models and learning-based control software that runs on robots to sense, decide, and act in real environments, often integrated with hardware and partner networks. The company differentiates itself by focusing on foundational AI methods for physical robotics and partnering with high-profile investors to support both R&D and commercialization across multiple industries. Its goal is to bring AI-driven robotic systems into real-world operations to boost efficiency and productivity through scalable, learnable robotics.

Company size
201-500
Company stage
Late Stage VC
Total funding
$2.1B
Headquarters
San Francisco, CA
Founded
2024

Recently Posted Jobs

Explore more opportunities at Physical Intelligence

See more jobs