Robot Build Technician
Quick Summary
Build Technician responsible for assembling, installing, and maintaining robotic systems for data collection and model training operations.
Skills & Keywords
What You'll Do
- Build and assemble robotic systems according to engineering specifications, including mechanical, electrical, and electromechanical components
- Install, calibrate, and configure robots and end-of-arm tooling for various applications
- Execute test protocols and quality checks to ensure robots function as designed
- Maintain detailed service records and documentation for robotic equipment
- Support hardware bring-up, including wiring, harnessing, and integration of sensors and actuators
- Collaborate with mechanical, electrical, and software engineers to root-cause manufacturing issues and implement solutions
- Manage inventory of parts, tools, and consumables for the hardware lab
- Train team members on assembly procedures and best practices
Competencies and Skills
- 2+ years of experience in mechanical or electromechanical assembly, robotics, or manufacturing environments
- Proficiency with hand tools, power tools, and lab equipment (soldering, crimping, torque wrenches)
- Experience with cable harnessing, wire routing, and electrical integration
- Ability to read and interpret mechanical drawings, schematics, and assembly instructions
- Familiarity with robotic systems, PLCs, or automated equipment is a plus
- Basic understanding of CAN bus, Ethernet, and communication protocols
- Strong troubleshooting skills and attention to detail
- Comfortable working in a fast-paced, iterative environment
- Experience with inventory management and documentation tools (Notion, Excel)
- Prior experience in robotics, automotive, aerospace, or consumer electronics is highly valued
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
physicalintelligence
About physicalintelligence
Physical Intelligence develops foundation models and learning algorithms to power robots and physically-actuated devices.
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