2 months ago
Base Salary
$120k - $165k/yr
Responsibilities
- Design prediction models for vehicles, pedestrians, and other dynamic agents.
- Develop mapping, localization, motion-planning, decision-making, and vehicle-control algorithms.
- Build simulation platforms with sensor modeling, AI simulation, and 3D environment reconstruction.
- Collaborate across perception, prediction, planning, control, mapping, localization, and simulation teams.
Requirements
- MS or PhD in Robotics, Computer Science, Physics, Computer Vision, Graphics, Machine Learning, Automation, or a related field, or equivalent practical experience.
- Expected graduation date between December 2026 and June 2027.
- Proficiency in C++ and/or Python, including knowledge of current language features.
- Strong analytical and problem-solving skills.
- Excellent communication and cross-functional collaboration abilities.
- Passion for innovation in the autonomous vehicle industry.
- Preferred: research published or presented at leading machine learning or robotics conferences.
- Preferred: proficiency with TensorFlow or PyTorch.
- Preferred: experience in open-source competitions or challenges related to autonomous driving.
Benefits
- Competitive salary depending on experience.
- Premium medical, dental, and vision plans at no cost to employees or their families.
- Free daily breakfast, lunch, and dinner.
- Paid vacations and holidays.
- 401(k) plan.
About WeRide.ai
WeRide builds Level 2–4 autonomous driving systems and operates driverless services—robotaxis, robobuses, robovans, and street-sweeping robots—for cities and mobility operators. It also licenses its WeRide Driving ADAS/AV software to automakers and platform partners, including the Renault‑Nissan‑Mitsubishi Alliance, Uber, Grab, GAC, and Bosch. Founded in 2017 and headquartered in San Jose, it is publicly listed in the U.S. and Hong Kong, with deployments across dozens of cities in 13 countries.