Motion Planning Engineer - Singapore

Weride in One-north

WeRide (Singapore) is the SEA HQ of Weride. Founded in the silicon valley of US in 2017, WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.


WeRide (Singapore) is looking for Motion Planning Engineers who enjoy having their software make critical decisions rather than just “process” or “display” data. We need people unafraid of crafting motion planning systems to make great decisions, every time, in all conditions.

WeRide (Singapore) offers competitive salary and excellent employee benefits. Our office is located in the One-north area, a 5min walk from the one-north MRT station. If interested, please send your resume/CV to alex.mah@weride.ai.

More about WeRide:
Website: https://www.weride.ai/
Youtube: https://www.youtube.com/@WeRideAI
LinkedIn: https://www.linkedin.com/company/werideai
Twitter: https://twitter.com/weride_ai

    • Building/Integrating software and algorithms for path planning, behavioral planning and vehicle control
    • Developing/Implementing/Evaluating/Launching algorithms in Robotic motion planning (e.g., A*, CC-RRT), vehicle modeling and kinematics
    • BS/MS/PhD degree in a relevant field of study (e.g., Computer Science, Computer Engineering)
    • Skilled in numerical optimization techniques (e.g., nonlinear constrained optimization) or skilled in AI or Robotics
    • Proven ability to produce computationally efficient software that can meet real-time requirements
    • 3+ years experience in motion planning, AI, or autonomy for real-world applications
    • Hands-on experience in robotic and/or vehicle system design and implementation
    • Knowledge of ROS
    • Knowledge of Linux, and development on Linux systems
    • Experience working in an automotive, aerospace, environments
    • Experience in writing safety-critical code
    • SLAM / Probabilistic Filtering experience
    • Experience in doing reinforcement learning
    • Experience with real-time sensor fusion (e.g. IMU, lidar, camera, odometry, radar)
Apply