1 день назад
Robot Control Engineer (Robotics)
150 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Robot Control Engineer (Robotics): Developing and maintaining control software for humanoid robots, from low-level control loops and actuator interfaces to state estimation and real-world deployment with an accent on motion planning, learned policy integration, and system reliability. Focus on tuning whole-body control and trajectory systems, debugging sim-to-real discrepancies, and supporting hardware bring-up and field testing.
Location: Mountain View, United States
Salary: $150K–$200K plus equity
Company
develops generalist intelligent humanoid robots across hardware, robot systems, AI infrastructure, foundation world models, and manufacturing.
What you will do
- Develop and maintain onboard control software, including control loops, state estimation, and actuator interfaces.
- Implement and tune motion planning and control systems such as whole-body control, trajectory optimization, and model predictive control.
- Integrate learned control policies with the AI/ML team onto real hardware.
- Build system reliability, fault detection, and recovery logic for robust operation.
- Debug differences between simulated and real robot behavior while working directly with prototype hardware.
- Support bring-up and field testing of new hardware revisions.
Requirements
- 1+ year of experience building control software for robotic systems or a related field.
- Strong software engineering fundamentals in C++, Python, or Rust.
- Hands-on experience with motion planning, control loops, state estimation, or actuator interfaces.
- Experience with ROS, ROS2, or similar robotics middleware in production or research.
- Ability to debug from driver-level issues through control behavior on live hardware.
- Comfort working directly with physical hardware in fast-moving, ambiguous environments.
Nice to have
- Experience with whole-body control, trajectory optimization, or model predictive control.
- Experience building sim-to-real pipelines for reinforcement learning or imitation learning.
- Familiarity with humanoid or legged robot platforms.
- Experience integrating learned perception or control models into real-time robot stacks.
- Prior work on prototype or pre-production robots.
Culture & Benefits
- High ownership in a small, fast-moving team.
- Work at the intersection of hardware and AI.
- Direct physical impact of control software on humanoid robot capabilities.
- Equity offered in addition to salary.
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