We are excited to invite applications from experienced professionals in the field of robotic systems control. This role offers a unique opportunity to leverage advanced control techniques combined with AI to create better robotic applications. The ideal candidate will possess a robust blend of theoretical knowledge and practical expertise in developing and deploying controllers for robotic systems.
Tasks
- Design, develop, and deploy controllers for robotic applications, focusing on nonlinear optimal control, quadratic programming (QP), robust control, or model predictive control (MPC).
- Support our team in robustifying existing controllers.
- Support the research arm of the company in the area of control theory.
Requirements
- Ph.D. or Master's degree in Control, Robotics, Computer Science, Electrical Engineering, or a related field
- Experience working with real-time systems
- Proficiency in at least one of the following areas: nonlinear optimal control, QP, robust control, or MPC, with demonstrated practical applications in robotics
- Solid knowledge of dynamics, kinematics, sensors, and other robotics-specific domain knowledge
- Strong programming skills in C++ and Python (experience with ROS2 is desirable)
Benefits
- Learn on: Access free courses through learning platform
- Choose your Weapons: Select your preferred device/OS; we support your requirements to optimize productivity
- Work Flexibly: Tailor your work schedule and environment to align with our mission
- Stay Mobile: Choose from various commuting solutions, including Jobrad/bike leasing or public transportation tickets
- Look after you: Prioritize self-care with flexible gym memberships or explore capital-building benefits. Plus, enjoy daily servings of fresh fruit and soft drinks to boost your energy level.