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WeRide.ai

Posted 74 months ago

Open

Motion Planning Engineer

San JoseOn-siteFull-time

AI Summary

Motion Planning Engineer at WeRide responsible for building and evaluating motion planning, behavioral planning, and vehicle control algorithms to enable real-time autonomous driving decisions.

About this role

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world. WeRide has operated a self-driving fleet for more than 2,200 days.

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.

What you will do:

  • 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

  • Requirements:

  • 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
  • Plus:

  • 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)
  • Skills

    A+AIAutonomous DrivingAutonomyBehavioral PlanningCameraCC-RRTEmbedded SystemsIMUKinematicsLiDARLinux DevelopmentMotion PlanningNonlinear Constrained OptimizationNumerical OptimizationOdometryPath PlanningProbabilistic FilteringRadarReal-time SystemsReinforcement LearningRoboticsRobotic System DesignROSSafety-critical CodingSensor FusionSLAMVehicle Modeling

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