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Motion Planning Engineer

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Onsite

Motion Planning Engineer

WeRide

Motion Planning Engineer

Skills

AILinux

4 months ago

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Important information


Contract type:

Permanent

Location:

San Jose, CA, USA

Work mode:

Onsite

Published on:

7 August 2026

What they need


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)

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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