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Physical AI Infrastructure Engineer

Yondu· Engineering
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Los Angeles, CA$100k - $200kFull-timePosted 2w ago

About the role

Hands-on engineer to build and improve tools that connect Yondu hardware, AI models, and real-world warehouse operations. Focuses on robot control, teleoperation, data annotation, and prototype hardware testing; ownership of R&D tooling and experimental systems.

Responsibilities

  • Improve our data annotation pipeline. Clean up existing workflows, improve data validation and labeling tools, and make it easier to turn robot demonstrations and deployment data into useful training datasets.
  • Maintain and improve teleoperation software. Improve how operator inputs translate into robot behavior, including action smoothing, motion mapping, responsiveness, and debugging tools.
  • Develop and evaluate manipulation capabilities. Work with inverse kinematics and motion control for new arms, including 7-DoF redundancy, elbow clearance, camera visibility, and compliant grasping.
  • Test prototype hardware. Write CAN communication and hardware test code for new R&D systems. Evaluate whether AMR base, lift, arm, and gripper interfaces provide the control, feedback, and timing needed for new behaviors.
  • Make hardware changes easier. Build calibration tools and model input/action adapters that help us move between different arms, grippers, and cameras.
  • Verify real task outcomes. Work with the AI team to detect whether a task actually succeeded, investigate false success signals, and evaluate rewards against physical results.
  • Measure what improved. Build repeatable tests that isolate the effects of model, controller, and hardware changes.
  • Keep R&D work reusable. Bring experimental branches into a shared codebase with clear interfaces, versioned configurations, tests, and documentation so other engineers can reproduce and extend the work.

Qualifications

  • Strong software engineering skills in Python and C++, with experience writing and debugging code that interacts with physical hardware.
  • Strong understanding of robotic kinematics, coordinate frames, inverse kinematics, and motion control.
  • Hands-on experience with robot arms, teleoperation, or related robotic systems.
  • Experience writing and debugging CAN communication with actuators or other hardware.
  • Ability to design useful experiments, define success criteria, and diagnose problems across software and hardware.
  • Good engineering habits: readable code, practical tests, clear documentation, and comfort integrating work across Git branches.
  • Comfort taking an open-ended problem from an initial prototype to a reliable tool that teammates can use.

Skills

Required:PythonC++LinuxMicrocontrollers

Benefits

  • Not specified in the description
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Yondu

Robots to Automate Fulfillment

Yondu is creating the robotic workforce of the future starting with logistics automation. We're deploying humanoid robots in the first flexible, drop-in picking automation solution designed for 3PLs.

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