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Beijing Innovation Center of Humanoid Robotics

Lead Robotics Assembly Engineer

LondonPosted 1 weeks ago
FullTimelead

Job Description

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further.

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further.

Key Responsibilities

1. Lead Prototype Builds:

  • Assembly: Lead a team in the final-stage physical assembly of humanoid robotic prototypes

  • Bringup: Execute bring-up of prototypes, updating calibration, configuration and firmware of actuators and sensors,

  • Test:Verifying that sensors, actuators and compute modules are functioning as expected

  • Feedback Loop: Document your findings and feed them back to the design team, allowing them to focus on long-term fixes rather than daily firefighting.

2. Line management:

  • Recruitment: Support activities to recruit a team to execute end-of-line assembly and test

  • Management: manage the team, conducting regular 1-to-1s and providing feedback, sick & holiday leave management, and performance appraisals

2. Continuous Improvement

  • Identify opportunities to improve the processes used to assemble and test, improving first-pass yield, cycle time,

  • Execute: Design, test, deploy, and document improved processes, training the team and others in the changes as appropriate

  • Measure: Appraise the improvements based on agreed KPIs, validating the benefits gained from the change

4. Fleet Support & Root Cause Analysis

  • Triage & Debug: Act as the first line of engineering defense for newly built robots. When a robot fails in the field or the lab, you investigate why.

  • Root Cause Analysis (RCA): Deep dive into mechanical, electrical, and software logs to identify the source of failures. You will distinguish between a "bad part," a "bad assembly," or a "bad design."

  • Feedback Loop: Document your findings and feed them back to the design team, allowing them to focus on long-term fixes rather than daily firefighting.

 

Must-Have:

  • Experience: 3+ years in Robotics, Mechatronics, or Systems Engineering. You have taken a robot from "parts on a table" to "working on the ground."

  • Hardware Debugging: You are comfortable using oscilloscopes, multimeters, and logic analyzers to debug harness and PCB issues. You aren't afraid to strip wires or solder a patch cable.

  • Mechanical assembly: Experienced in assembly of robotics components, with confidence working with actuators, sensors, gearboxes, and PCBAs

  • Software Competency: Familiarity in Linux and Python to write/modify scripts that capture sensor data. Familiarity with ROS/ROS2 to visualize data (RViz) and check topics. Familiarity with Git, bootloader and firmware updates.

Nice-to-Have:

  • Mechanical CAD experience (SolidWorks/Siemens NX)

  • Solid understanding of robotics perception hardware.

  • AI tools hands-on experience

 
 

Tech Stack & Tools

  • Sensors: 2D/3D LiDAR, Stereo Cameras, Time-of-Flight (ToF), IMUs

  • Software: ROS2, Python, Bash, Ubuntu Linux

  • Hardware Tools: Saleae Logic Analyzer, Oscilloscope, Soldering Station, 3D Printers


    What We Offer

    • Competitive salary plus participation in our Stock Option Plan

    • Paid vacation with adjustments based on your location to comply with local labor laws

    • Travel opportunities to our Boston and Vancouver offices

    • Office perks: free breakfasts and lunches

    • Freedom to influence the product and own key initiatives

    • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics

    • Startup culture prioritising speed, transparency, and minimal bureaucracy.

 
 



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