3 дня назад
Humanoid Engineer, Manipulation (Robotics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Humanoid Engineer, Manipulation (Robotics): Designing and deploying humanoid manipulation and loco-manipulation behaviors on real hardware with an accent on perception, planning, control, grasping, and whole-body coordination. Focus on running hardware experiments, improving reliability across diverse environments, and debugging integrated software, sensors, actuators, and field conditions.
Location: Irvine, California, United States; on-site
Company
Develops risk-aware, reliable, field-ready embodied AI systems for real-world robotic deployments.
What you will do
- Design, implement, and evaluate humanoid manipulation and loco-manipulation behaviors on physical robots.
- Integrate perception, planning, control, grasping, whole-body coordination, and task execution into deployable workflows.
- Run hardware experiments, analyze failures, and improve manipulation reliability across objects, environments, and tasks.
- Collaborate with system integration, hardware, field application, and testing teams to move capabilities from prototype to deployment.
- Support teleoperation, data collection, and human-in-the-loop workflows.
- Build evaluation tools, metrics, and protocols for success, repeatability, failure recovery, and operator usability.
Requirements
- MS or PhD in Robotics, Mechanical Engineering, Computer Science, or a related field preferred; BS candidates with strong hands-on robotics experience considered.
- Hands-on experience with robotic manipulation, humanoids, mobile manipulation, dexterous hands, or contact-rich robotics using physical hardware; simulation-only experience is not considered.
- Strong foundation in kinematics, dynamics, motion planning, control, and real-robot experimentation.
- Experience with C++, Python, ROS or ROS2, and Linux in a real robotics codebase.
- Ability to iterate from experiments to working behavior on physical hardware, analyze failures, and adapt in real time.
- Background appropriate for a junior-to-mid engineer; fresh MS and PhD graduates are welcome.
Nice to have
- Experience with humanoid platforms or contact-rich, dexterous manipulation systems.
- Robot learning experience on physical hardware, including imitation learning, reinforcement learning, or task and motion planning.
- Experience taking manipulation capabilities from prototype to reliable, repeatable field behavior.
- Experience building manipulation evaluation frameworks, test suites, and success or failure metrics.
Culture & Benefits
- Work directly with real robots, sensors, and field deployments.
- Capabilities are tested on hardware and improved through real-world operation.
- Close collaboration across engineering, hardware, field application, and testing functions.
- Daily hands-on experimentation in an on-site robotics environment.
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