About the Job
We are looking for a Control Engineer (m/f/d) to bring locomotion control to our robot, from simulation to real hardware. You will own the full path from model to motor: identify the dynamics, design controllers, train reinforcement learning policies and make them run reliably on the real robot. The work spans simulation, real-time control and firmware. It has to hold up against model errors, sensor noise, latency and hardware that does not behave like the simulator.
Responsibilities
- Locomotion Control: Design, implement and tune controllers for a robot, from joint-level torque and impedance control up to whole-body and locomotion control.
- Real-Time & Firmware Integration: Integrate controllers and policies into the real-time control stack and work on the firmware side (motor drivers, communication buses, safety limits) together with the hardware team.
- RL Policy Training: Train locomotion policies in simulation (e.g. Isaac Lab, MuJoCo), including reward design, curricula and domain randomization.
- Sim2Real Transfer: Deploy trained policies on the real robot and close the sim2real gap through actuator, latency and noise modeling and systematic hardware experiments.
- System Identification: Identify actuator and rigid-body dynamics (inertia, friction, motor models) from robot data and feed the results back into simulation and controllers.
- Testing & Validation: Build test setups and benchmarks in simulation and on hardware, and run reliability checks before demos and releases.
- Documentation: Document models, controllers and procedures so others can reproduce and extend them.
Essential Skills
- Engineering Background: Degree in Robotics, Control Engineering, Electrical or Mechanical Engineering, Computer Science or a related field, or an equivalent qualification plus professional experience with comparable systems.
- Robot Dynamics & Control: Solid foundation in rigid-body dynamics and feedback control (e.g. torque/impedance control, MPC, whole-body control), applied on physical robots.
- Reinforcement Learning: Hands-on experience training RL policies for robot control in simulation (e.g. PPO with Isaac Lab or MuJoCo).
- Sim2Real: Experience transferring controllers or learned policies from simulation to real hardware and debugging the gap.
- C++ and Python: Professional experience writing C++ for real-time robot control on embedded targets, and Python for training, analysis and tooling.
- Hands-on Hardware Debugging: Comfortable working directly on real robots, reading logs and signals, and tracking problems across software, electronics and mechanics.
Beneficial Skills
- Legged Robots: Experience with quadrupeds or humanoids, in locomotion or whole-body control.
- System Identification: Experience identifying robot or actuator dynamics (excitation trajectories, physically consistent parameter estimation, friction models).
- Firmware & Embedded: Experience with embedded C/C++, motor control (FOC), real-time systems (e.g. PREEMPT_RT, Xenomai) or field buses such as EtherCAT or CAN.
- ROS 2 & Middleware: Experience with ROS 2, ros2_control or DDS.
- Simulation Modeling: Experience building or tuning robot models in MuJoCo or Isaac Sim.
- Infrastructure: Docker, CI pipelines and GPU training setups.
What we offer
- A dynamic high-tech company, combined with financial soundness and world-class investors.
- Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
- Lots of development opportunities as we continue to grow.
- Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
- Corporate Benefits Program covering health, mobility, and learning for 100€ net per month.
- Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment
About us
Agile Robots is a leading provider of AI-powered robotics solutions. By combining artificial intelligence and robotics, the company makes industries smarter, more flexible, and more efficient.
Founded in Munich in 2018 by renowned robotics researchers from the German Aerospace Center (DLR), Agile Robots has experienced rapid global growth. Today, more than 3,500 highly skilled robotics and AI enthusiasts are employed worldwide. The company has one of the largest research and development teams in the AI and robotics industry.
Agile Robots has built a unique portfolio; together with the subsidiaries BÄR Automation, Franka Robotics, idealworks, and Krause Automation, the company covers all areas of AI-driven robotics.
Find out more at: https://www.agile-robots.com/en/
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