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.
The team
This role is part of the hardware team that designs and builds hardware platforms. There will be deep collaboration with the factory teams as well.
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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Skills Required
- Design and optimize manufacturing processes for robotic systems, including assembly sequences and cycle-time improvements
- Provide DFM/DFA feedback and collaborate with design engineers to drive design iterations
- Develop fixtures, jigs, and tooling for novel processes to ensure build quality and efficiency
- Establish and maintain Bills of Materials (BOMs), build instructions, assembly flow and manufacturing documentation
- Lead transitions from prototype to pilot production and scale
- Perform 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
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What We Do
Physical Intelligence is bringing general-purpose AI into the physical world, developing foundation models and learning algorithms to power robots and other physically-actuated devices.
