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WeRide.ai

Motion Planning Engineer

Reposted One Month Ago
In-Office
San Jose, CA, USA
130K-182K Annually
Mid level
In-Office
San Jose, CA, USA
130K-182K Annually
Mid level
Develop and integrate motion planning algorithms and software for autonomous vehicles, ensuring computational efficiency and real-time performance in various conditions.
The summary above was generated by AI
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.

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

WeRide.ai San Jose, California, USA Office

2630 Orchard Pkwy, San Jose, CA, United States, 95134

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