Robotics Software Engineer - Motion Planning
Posted
Summary
Develops real-time motion control software for TELEXISTENCE's self-developed robot (TX GHOST), covering inverse kinematics, collision avoidance and compliance control, plus actuator driver and ROS framework integration toward enterprise-grade production. Core stack: C++ on Linux, ROS2, MoveIt, Gazebo.
The Robotics Software Engineer position is ideal for a candidate who has advanced skills in control software development for robot manipulators with extensive mathematics and algorithm background. The main responsibility will be to develop robot control software for our self-developed robot (TX GHOST).
Responsibilities
- Develop real-time motion control software to control robot manipulators using Inverse Kinematics, collision avoidance and active compliance control algorithms
- Develop TX's custom-made robot control software, such as actuator driver integration and ROS framework integration
- Integrate the entire software components to make the robotic solution ready for enterprise-level production
Requirements
- Master's degree or above in a relevant field
- Expert in C++ software development on Linux/Ubuntu platform
- Expert in ROS2 framework and MoveIt Motion Planning. If we gave you URDF, you should be able to create a ROS environment with MoveIt to control the robot in the Gazebo environment from scratch
- Experience in developing software to control robot manipulator (e.g., UR series of Universal Robots)
- Hands-on experience with motor control and PID algorithms
- Knowledge of robotics control theory (Kinematics, Dynamics, Motion Planning, and Control)
- Passion to develop a product used in real operations (product mindset)
- Good communication skills and proactive collaboration
- Business level of English
Desired Skills
- Japanese language skill to communicate with internal/external stakeholders
- Experience in developing force/torque control software, such as compliance control
- Creative in solving issues; data-driven debugging and iteration
- Autonomous problem-solver: proactively identifies and breaks down issues, investigates logs/metrics, designs experiments, proposes options, and delivers fixes/features end-to-end with minimal oversight—while communicating progress and escalating when truly blocked
- Experience simulating robotic systems and their interactions with physics-based environments