EngineeringOn-site

Motion Planning Engineer

WeRide.ai · On-site

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Last seen by MeritLog September 12, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from WeRide.ai's Lever job board and last checked it on September 12, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: $130,000 – $182,000
Location: San Jose, CA
Company website: www.weride.ai

Hiring context

How this role compares at WeRide.ai

WeRide.ai has 18 live roles in MeritLog’s catalog across 4 job families, and 11 of them are in engineering. 4 of those listings publish a pay range, a disclosure rate of 22%.

WeRide.ai concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd 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

What they're asking for

BS/MS/PhD degree in a relevant field of study (e.g., Computer Science, Computer Engineering)Education
Skilled in numerical optimization techniques (e.g., nonlinear constrained optimization) or skilled in AI or RoboticsSkill
Proven ability to produce computationally efficient software that can meet real-time requirementsSkill
3+ years experience in motion planning, AI, or autonomy for real-world applicationsExperience
Hands-on experience in robotic and/or vehicle system design and implementationSkillPreferred
Knowledge of ROSSkillPreferred
Knowledge of Linux, and development on Linux systemsSkillPreferred
Experience working in an automotive, aerospace, environmentsSkillPreferred
Experience in writing safety-critical codeSkillPreferred
SLAM / Probabilistic Filtering experienceSkillPreferred
Experience in doing reinforcement learningSkillPreferred
Experience with real-time sensor fusion (e.g. IMU, lidar, camera, odometry, radar)SkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

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. 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

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