3+ years of hands-on experience in robotics, mechatronics, or a related engineering field.
Strong Python and C++ programming skills, with practical experience on Linux.
Experience in building, integrating, and debugging robotics or mechatronic systems.
Solid understanding of kinematics, coordinate transforms, and sensor calibration.
Familiarity with robot interfaces, control loops, and software-hardware communication.
Ability to integrate perception or machine-learning models into robotic systems.
Systematic approach to diagnosing failures across software, electronics, sensors, and mechanics.
Responsibilities
Integrate robotics hardware and software for data collection and repeatable experiments.
Develop calibration and diagnostic tools for coordinate frames, timing, and sensor quality.
Deploy perception models and learned policies on robots, investigating their real-task performance.
Build recording, teleoperation, and evaluation workflows with robot-learning researchers.
Enhance system reliability through hardware debugging, software improvements, and clear recovery procedures.
Benefits
Encouragement to apply even if not meeting 100% of qualifications, promoting diversity in applications.
Full Job Description
The Role You'll build the physical systems our researchers use to test what robots have learned. You'll bring robots, sensors, and software together for demonstrations, policy deployment, and experiments that the team can repeat and trust. Precise calibration, sound control, and careful debugging will connect Mecka's data to how robots behave on real hardware, so the team can tell a weakness in a learned policy apart from a problem in the system running it.
What You'll Do
Integrate robotics hardware and software for data collection and repeatable experiments.
Develop calibration and diagnostic tools for coordinate frames, timing, and sensor quality.
Deploy perception models and learned policies on robots, and investigate how they perform on real tasks.
Build recording, teleoperation, and evaluation workflows with our robot-learning researchers.
Make systems more reliable through hardware debugging, software improvements, and clear recovery procedures.
What You Bring
Must-have:
3+ years of hands-on experience in robotics, mechatronics, or a closely related engineering field.
Strong Python and C++ skills, with practical experience developing on Linux.
Hands-on experience building, integrating, and debugging robotics or mechatronic systems.
A solid understanding of kinematics, coordinate transforms, sensor calibration, and time synchronization.
Experience with robot interfaces, control loops, and communication between software and physical hardware.
Ability to integrate perception or machine-learning models into a running robotic system.
A systematic approach to diagnosing failures across software, electronics, sensors, and mechanics.
A Note on Applying
Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply - we're looking for capability and trajectory, not a perfect checklist match.
