Motion Planning Engineer

Weride in San Jose, CA

$130,000 - $182,000

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.ai Silicon Valley team 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.
Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $130,000 - $182,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

WeRide.ai offers competitive salary depending on the experience. Employee benefits include:
Premium Medical, Dental and Vision Plan (No cost from employees or their families)
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan


    • 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)
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