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Physical Intelligence

Manufacturing Engineer

Physical Intelligence is hiring a Manufacturing Engineer. Level rates it ; you can apply on Physical Intelligence.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Solidworks, Nx and Onshape.
  • Level classifies it as a lead role.
  • Level lists 43 other open roles at Physical Intelligence.

AI in this role

Scale robotic systems from prototype to production by designing manufacturing processes and tooling for AI-powered robots.

SolidworksNxOnshapeERPMrp
manufacturing-engineeringroboticsdfmlean-manufacturingnpi

Physical Intelligence is bringing general-purpose AI into the physical world. We are a team of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.

We're looking for a Manufacturing Lead who can scale our robotic systems from prototype to production. You'll own the processes, tooling, and systems that enable us to build robots reliably and efficiently. You'll bridge the gap between R&D and production, working closely with design engineers to ensure our robots are manufacturable at scale while maintaining the quality and consistency needed to advance research. You will design assembly and test fixtures, manage the assembly and test flows, BOMs, and work closely with the supply chain team to ensure parts arrive on time and are assembled and tested consistently at scale.

In this role you will

  • Design and optimize manufacturing processes for robotic systems, including assembly sequences, work instructions, and cycle-time improvements.

  • Collaborate with design engineers to provide DFM/DFA feedback and drive design iterations.

  • Develop fixtures, jigs, and tooling from the ground up for novel processes to ensure build quality and efficiency for complex robotic assemblies.

  • Establish and maintain Bills of Materials (BOMs), build instructions, assembly flow and all manufacturing documentation.

  • Lead the transition of robot designs at various levels of maturity from prototype, to pilot production, to eventually scale.

  • Conduct root-cause analysis (RCCA) and failure mode analysis (FMEA) to drive continuous improvement.

  • Define and track manufacturing KPIs including yield, throughput, and cost per unit.

  • Implement quality control systems including inspection criteria, test protocols, and acceptance standards.

What we hope you'll bring

  • Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or a related field.

  • 5+ years of experience in manufacturing engineering, preferably in robotics, automotive, aerospace, or consumer electronics.

  • Experience with NPI is required.

  • Proficiency in CAD software (SolidWorks, NX, or Onshape) and GD&T.

  • Experience with manufacturing processes: machining, sheet metal, injection molding, 3D printing, PCB assembly.

  • Strong understanding of lean manufacturing principles and continuous improvement methodologies.

  • Familiarity with ERP/MRP systems and production planning.

  • Experience with quality systems (ISO 9001) and statistical process control.

  • Hands-on ability to build and troubleshoot electromechanical systems.

  • Excellent project management and cross-functional collaboration skills.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

How we rate this

Manufacturing Engineer at Physical Intelligence rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Manufacturing EngineeringRoboticsDfmLean ManufacturingNpiSolidworksNxOnshape

Questions you could be asked

  1. Tell me about a project where manufacturing engineering was part of your work. What did you do?
  2. Tell me about a project where robotics was part of your work. What did you do?
  3. Tell me about a project where dfm was part of your work. What did you do?
  4. Tell me about a project where lean manufacturing was part of your work. What did you do?
  5. Tell me about a project where npi was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Manufacturing Engineering, Robotics, Dfm, Lean Manufacturing, and Npi. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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