11 часов назад
Senior / Staff Robotics Engineer, Manipulation (Robotics)
160 000 - 265 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior / Staff Robotics Engineer, Manipulation (Robotics): Architecting the arm autonomy stack for robots that reach, grasp, and manipulate objects in demanding industrial environments with an accent on motion planning, interaction control, and teleoperation. Focus on designing real-time constrained trajectories, whole-body control, force-feedback compliance, and safe translation of human intent into robot motion.
Location: Milpitas, California, United States; 5 days per week in-office
Salary: $160,000–$265,000 USD per year, plus bonus and equity
Company
is an AI robotics company developing Physical AI-powered robots for dull, dirty, and dangerous industrial work, with a focus on real-world deployment and scalability.
What you will do
- Own and architect the arm autonomy stack for reaching, grasping, and manipulating objects safely.
- Develop constrained motion planners and smooth, jerk-limited trajectories for high-degree-of-freedom arms in dynamic environments.
- Implement whole-body control coordinating the mobile base and manipulator during workspace extension and heavy lifting.
- Design and tune impedance and admittance controllers using force feedback for safe physical interaction.
- Build teleoperation control mapping and assistance layers that translate operator intent into feasible, stable robot motions.
Requirements
- Ph.D. in Robotics, Mechanical Engineering, Computer Science, or a related field, or an M.S. degree with 4+ years of relevant industry experience.
- Deep knowledge of rigid-body kinematics, dynamics, 3D geometry, linear algebra, and Lie theory.
- Production-grade real-time C++ expertise, including modern C++ standards and libraries such as Eigen, KDL, or Pinocchio.
- Experience with motion-planning frameworks such as OMPL, MoveIt, TrajOpt, or similar.
- Practical experience implementing PID, impedance control, or model predictive control on real hardware.
- Availability for 5 days per week of in-office collaboration in Milpitas, California.
Nice to have
- Physics simulation experience with Isaac Sim, MuJoCo, or Gazebo.
- Familiarity with OSQP, Ipopt, Ceres, or other optimization solvers.
- Experience or interest in reinforcement learning or learning from demonstration for manipulation.
- Experience with EtherCAT, CAN, industrial communication buses, or motor drives.
Culture & Benefits
- Competitive stock options or equity programs.
- Health, dental, and vision insurance.
- 401(k) plan.
- Visa sponsorship and green card support for qualified candidates.
- Lunches and dinners, a stocked kitchen, and regular team-building events.
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