San Francisco · On-site

Integrate sensors, actuators and control software to make robots work in the physical world. Connect Physical AI models and algorithms to measurable, testable behavior on real hardware.

Responsibilities

Select and bring up robot, sensor and end-effector configurations.
Implement interfaces between perception, planning and control.
Calibrate hardware, collect data and evaluate successful attempts, failures and retries.
Establish repeatable experiments, including safe stop and recovery procedures.

Basic qualifications

Hands-on experience operating a robot or mechatronic system.
Development experience in Python or C++.
Ability to diagnose issues using sensor data, logs and recorded behavior.

Preferred experience

ROS 2, kinematics, motion control, computer vision or manipulation.
Experience evaluating imitation-learning or reinforcement-learning models on hardware.

Example focus for the first month

Choose one small manipulation or motion task, run repeated hardware trials and report success rate, failure causes and proposed improvements. The actual assignment, scope and evaluation criteria are agreed before joining.

Working together

Location On-site in San Francisco, working directly with the team.
Start We agree the start date together.
Duration The first month is a trial. Any continuation is discussed and agreed by both sides.
Commitment Near-full-time. Exact working days and hours are agreed before starting.
Terms Compensation, engagement type and expenses are discussed during the process and agreed before joining.

Apply

Along with your background, show us what you personally designed, assembled or brought to life: work samples, code, CAD, test records or video. Attach files below or send links. Please include:

Your background
Links to work samples or a portfolio
Your earliest start date and how long you can join
Expected working days and hours per week
Whether you can work on-site in San Francisco
Any other roles that interest you

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