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Physical Intelligence

Develops AI-driven robotic systems for industry

Manufacturing Engineer

Manufacturing EngineeringConfirmed live in the last 24 hours
Full-timeFremont, CA, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or a related field.
  • At least 5 years of experience in manufacturing engineering; experience in robotics, automotive, aerospace, or consumer electronics is preferred.
  • Experience with new product introduction is required.
  • Proficiency in computer-aided design software such as SolidWorks, NX, or Onshape, and geometric dimensioning and tolerancing.
  • Experience with machining, sheet metal, injection molding, 3D printing, and printed circuit board assembly.
  • Strong understanding of lean manufacturing principles and continuous improvement methodologies.
  • Familiarity with enterprise resource planning or material requirements planning systems and production planning.
  • Experience with ISO 9001 quality systems and statistical process control.
  • Hands-on ability to build and troubleshoot electromechanical systems.
  • Project management and cross-functional collaboration skills.

Responsibilities

  • Design and optimize manufacturing processes for robotic systems, including assembly sequences, work instructions, and cycle-time improvements.
  • Collaborate with design engineers to provide design for manufacturing and design for assembly feedback and drive design iterations.
  • Develop fixtures, jigs, and tooling for novel processes to ensure build quality and efficiency for complex robotic assemblies.
  • Establish and maintain bills of materials, build instructions, assembly flows, and manufacturing documentation.
  • Lead the transition of robot designs at various levels of maturity from prototype through pilot production and into scaled production.
  • Conduct root-cause and failure mode analyses to drive continuous improvement.
  • Define and track manufacturing key performance indicators, including yield, throughput, and cost per unit.
  • Implement quality control systems, including inspection criteria, test protocols, and acceptance standards.
  • Own the processes, tooling, and systems needed to build robots reliably and efficiently; bridge research and development and production, coordinating with design engineers on manufacturability and with the supply chain team on timely parts and consistent assembly and testing at scale.

Desired Qualifications

  • Experience in robotics, automotive, aerospace, or consumer electronics manufacturing.

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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