RoboForce
Senior Motion Planning and Control EngineerMilpitas, CA
RoboForce - Milpitas, California, United States, 95035
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Overview
Senior Motion Planning And Control Engineer
We are looking for a Senior Motion Planning and Control Engineer to design, develop, and optimize advanced robotic manipulation, navigation, and behavior planning solutions. This role offers an opportunity to work on cutting-edge technology with immediate real-world applications. Responsibilities:
Develop advanced algorithms for navigation, manipulation, and real-time optimization. Design and fine-tune low-level control algorithms for precise robotic control. Adopt and implement new concepts and technologies to drive innovation. Collaborate with hardware, AI, and product teams for seamless system integration. Deliver high-quality, reliable software for deployment in dynamic environments. Qualifications:
Master's degree in Robotics, Control, Computer Science, Mechanical Engineering, or related field with 5+ years of experience. Strong expertise in robot kinematics, dynamics, compliance control, optimization, and state estimation. Solid knowledge of path planning, trajectory optimization, and behavior planning. Proficiency in modern C++ and algorithm design. Requires 5 days/week in-office collaboration with the teams. Preferred Skills:
PhD in Robotics, Control, Computer Science, AI, or related field. Published work in AI robotics solutions. Familiarity with reinforcement learning and deep learning for motion planning. Experience with actuators, sensors, and low-level control systems. Proven ability to deploy real-time control systems in dynamic environments.
We are looking for a Senior Motion Planning and Control Engineer to design, develop, and optimize advanced robotic manipulation, navigation, and behavior planning solutions. This role offers an opportunity to work on cutting-edge technology with immediate real-world applications. Responsibilities:
Develop advanced algorithms for navigation, manipulation, and real-time optimization. Design and fine-tune low-level control algorithms for precise robotic control. Adopt and implement new concepts and technologies to drive innovation. Collaborate with hardware, AI, and product teams for seamless system integration. Deliver high-quality, reliable software for deployment in dynamic environments. Qualifications:
Master's degree in Robotics, Control, Computer Science, Mechanical Engineering, or related field with 5+ years of experience. Strong expertise in robot kinematics, dynamics, compliance control, optimization, and state estimation. Solid knowledge of path planning, trajectory optimization, and behavior planning. Proficiency in modern C++ and algorithm design. Requires 5 days/week in-office collaboration with the teams. Preferred Skills:
PhD in Robotics, Control, Computer Science, AI, or related field. Published work in AI robotics solutions. Familiarity with reinforcement learning and deep learning for motion planning. Experience with actuators, sensors, and low-level control systems. Proven ability to deploy real-time control systems in dynamic environments.