Control Engineer

Base pay range $170,000.00/yr - $230,000.00/yr Job Description We are at the forefront of developing advanced robotic systems that solve real‑world challenges. We're building next‑generation robots designed to work alongside humans, operate in human environments, and help address growing labor shortages. We are seeking talented Control Engineers to join our dynamic team and lead the development of state‑of‑the‑art control and state estimation algorithms for our robot platform. Responsibilities Develop and implement state estimation, sensor fusion, planning, control algorithms that enable fast, dynamic and safe robot motion Collaborate with cross‑functional teams including embedded system, perception, hardware, AI Optimize control performance across multiple domains including stability, safety, precision, and energy efficiency Design and conduct experiments to validate control algorithms both in simulation and on hardware Analyze system performance data to identify failure modes and improvement opportunities Document technical approaches, implementation details, and experimental results Requirements Master's or PhD in Robotics, Controls, Mechanical Engineering, or related technical field 4+ years of professional experience developing control systems for dynamic robots Strong expertise in control theory including nonlinear control, model predictive control, and optimal control Experience with state estimation techniques such as Kalman filters, particle filters, and factor graphs Proficiency in C++, Python, Rust for real‑time robotics applications Strong understanding of robot kinematics, dynamics, and mathematical modeling Experience working with sensor integration including IMUs, encoders, force/torque sensors Proven track record of implementing and testing control algorithms on physical robotic systems Excellent problem‑solving skills and ability to debug complex system interactions Bonus Qualifications Experience with highly dynamic control systems such as bipedal, quadruped, or humanoid robots Knowledge of reinforcement learning or other machine learning approaches for control Experience with whole‑body control and contact dynamics for legged systems Experience with real‑time computing and optimization Background in trajectory optimization and motion planning Familiarity with ROS, simulation environments (e.g., Drake, Isaac Sim, SAPIEN, MuJoCo, PyBullet) Track record of publications in top‑tier robotics conferences/journals About Us Founded in 2009, IntelliPro stands as a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. With a dynamic presence in the USA, China, Canada, Singapore, Philippines, UK, India, Netherlands, and Germany, we continue to lead the way in global talent solutions. IntelliPro is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We also ensure that all applicants have access to accommodations throughout the hiring process. Learn more at Compensation The compensation offered will depend on various factors, including location, experience, education, and job‑related skills. This role includes a competitive base salary, bonus, equity, and a comprehensive benefits package, subject to eligibility. Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology Technology, Information and Media and Robotics Engineering #J-18808-Ljbffr IntelliPro