Robotic Software Engineer – RL Locomotion Control Engineer

3 days ago


Fatih, Istanbul, Turkey Hyperever Full time
Role OverviewWe are seeking a Robotic Software Engineer specializing in Reinforcement Learning (RL) for Locomotion Control to develop advanced motion control strategies for legged robots. This role focuses on designing, training, and deploying RL-based controllers to enable agile, adaptive, and efficient robot locomotion in real-world environments. You will work at the intersection of robot control, reinforcement learning, and physics-based simulation, contributing to cutting-edge autonomous robotic systems.Key Responsibilities
  • Develop reinforcement learning-based locomotion controllers for legged robots
  • Develop efficient sim-to-real transfer strategies to deploy trained policies on physical robots.
  • Collaborate with hardware and perception teams to ensure smooth deployment of locomotion policies.
Requirements
  • Education: Bachelors, Master's or PhD in Robotics, Control Engineering, Computer Science, or a related field.
  • Experience: Prior work in robotic locomotion, reinforcement learning, and optimal control.
  • Experience training and deploying RL policies for legged or wheeled robots.
  • Familiarity with whole-body control, torque control, and contact-aware planning.
Technical Skills
  • Programming: Proficiency in Python and C++ for RL training and real-time control.
  • Reinforcement Learning: Experience with PPO, SAC, TD3, DDPG, or custom RL approaches.
  • Control Theory: Strong understanding of MPC, LQR, Whole-Body Control (WBC), and PID tuning.
  • Simulation: Hands-on experience with Isaac Gym or MuJoCo or RaiSim, or Bullet Physics.
  • Deep Learning & Optimization: Familiarity with PyTorch or TensorFlow.
  • Robotics Frameworks: Experience with ROS 1/2, Gazebo
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