Robotics R&D Engineer: Teleoperation & Tooling

Yondu Inc.

Los Angeles (CA)

On-site

USD 120,000 - 190,000

Full time

14 days+

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Job summary

Yondu builds software that turns off-the-shelf robots into autonomous warehouse labor. We’re seeking a hands-on engineer to assemble and improve tools that connect hardware, AI models, and real-world operations in Los Angeles, CA.

You will own R&D tools, from robot control and teleoperation to data annotation and prototype hardware testing, collaborating with AI and production engineers to bring experiments toward production readiness.

Qualifications

  • Strong software engineering skills in Python and C++, with experience interfacing with hardware.
  • Experience with 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.

Responsibilities

  • Improve data annotation pipeline, including validation and labeling tools.
  • Maintain and improve teleoperation software for robot control.
  • Develop manipulation capabilities using inverse kinematics and motion planning.
  • Test prototype hardware and CAN communication for new R&D systems.
  • Make hardware changes easier with calibration tools and adapters.
  • Verify task outcomes with AI team and evaluate rewards against physical results.
  • Measure impact with repeatable tests isolating model, controller, and hardware changes.
  • Ensure R&D work is reusable with clear interfaces and documentation.

Skills

Python
C++
Robotics
CAN bus

Tools

ROS/ROS 2
CAN bus
Robot arms control

Job description

Yondu builds software that turns off-the-shelf robots into autonomous warehouse labor. We’re seeking a hands-on engineer to assemble and improve tools that connect hardware, AI models, and real-world operations in Los Angeles, CA.

You will own R&D tools, from robot control and teleoperation to data annotation and prototype hardware testing, collaborating with AI and production engineers to bring experiments toward production readiness.

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