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Motion Planning Engineer

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4 and is the world's firs

Job Full source details
Weride San Jose, San Jose, CA Source published May 2, 2020 Verified 3 hours ago
✓ 100% verification score · Source: weride (lever) · Always confirm final requirements on the original source.
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EmploymentFull-time

Overview

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4 and is the world's firs

Full job description

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4 and is the world's first publicly listed autonomous vehicle (AV) company. Its business footprint now spans more than 60 cities across 13 countries. Powered by the intelligent, versatile, and highly adaptable WeRide One platform, the company provides autonomous driving products and services ranging from Level 2 to Level 4, addressing mobility, logistics, and urban services.

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.

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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