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Physical Intelligence

Develops AI-driven robotic systems for industry

Environment Coordinator

Facilities ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 2 years of experience in purchasing, inventory, set building, production design, retail or event installs, kitchen, or warehouse operations.
  • Experience coordinating a team's daily work on tight timelines.
  • Sound judgment on quantities, timing, and priorities.
  • Attention to detail and comfort with tracking tools.
  • Ability to stand, lift up to 40 pounds, and move around throughout a shift.

Responsibilities

  • Turn incoming requirements into a weekly work plan.
  • Source and purchase supplies within a set budget.
  • Decide quantities, timing, and priorities when requests compete.
  • Direct contractors and Specialists day to day, and work hands-on when the team needs it.
  • Check that work is complete and meets specifications before handoff.

Desired Qualifications

  • Experience in film, television, theater, or event set work.
  • Experience buying consumables on a daily cadence.
  • Familiarity with inventory systems.

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

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