over 6 years ago
Base Salary
$130k - $182k/yr
Responsibilities
- Research and develop efficient end-to-end machine learning solutions for autonomous-vehicle perception and sensor fusion.
- Develop capabilities for obstacle detection and understanding, drivable-space and 3D-occupancy understanding, map sensing, and scene understanding.
- Build efficient and robust onboard systems.
- Develop an offboard iteration loop for fast improvement on long-tail scenarios.
Requirements
- Strong abilities in algorithms and C++ coding, or strong expertise in computer vision, machine learning, or model optimization.
- Solid problem-solving, algorithm, and data-analysis skills.
- Good communication and coordination skills.
- Preferred experience includes C++ development, multithreading, memory management, computing optimization, multi-sensor fusion, and 2D/3D tracking.
- Publications in top-tier conferences and journals are preferred.
Benefits
- Base salary range of $130,000-$182,000, with eligibility for an annual performance bonus and equity.
- Premium medical, dental, and vision plans at no cost to employees or their families.
- Free daily breakfast, lunch, and dinner.
- Paid vacations and holidays.
- 401K plan.
Tech Stack
Categories
ML EngineeringRobotics
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.