Develop and integrate motion planning algorithms and software for autonomous vehicles, ensuring computational efficiency and real-time performance in various conditions.
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
WeRide.ai San Jose, California, USA Office
2630 Orchard Pkwy, San Jose, CA, United States, 95134
Similar Jobs
Artificial Intelligence • Robotics • Automation • Manufacturing
Lead design and delivery of motion planning and real-time control for robot manipulators. Implement trajectory optimization, online replanning, sensor-guided closed-loop execution, safety constraint frameworks, and hardware-in-the-loop testing across multiple robot platforms. Collaborate with perception and AI teams to bridge learned behaviors and classical control for production deployments.
Top Skills:
C++Communication ProtocolsForce/Torque SensorsGrippersHardware-In-The-LoopModel Predictive Control (Mpc)Optimization-Based PlanningPythonReal-Time ControlReplanningRobot ControllersSampling-Based PlanningSimulation EnvironmentsTrajectory OptimizationVision Integration
Automotive • Robotics • Software • Transportation
Lead motion planning capabilities for autonomous trucking, solving complex driving challenges, influencing architecture and improving systems performance, while mentoring engineers.
Top Skills:
C++
Artificial Intelligence • Automotive • Machine Learning • Transportation
The Staff Motion Planning Engineer will lead the research and development of algorithms for motion planning in autonomous vehicles, ensuring robust software integration and mentoring team members.
Top Skills:
Bayesian ModelingBazel Build FrameworkC++Gaussian Mixture ModelsHidden Markov ModelsParticle FiltersProbabilistic Models
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
