2 months ago
Base Salary
$120k - $165k/yr
Responsibilities
- Develop and deploy perception and deep learning models, including computer vision, vision-language, and large language models, for real-time autonomous-driving systems.
- Create and optimize data pipelines for data mining, labeling, training, and evaluation.
- Research perception algorithms for object detection, segmentation, road understanding, motion prediction, and complex real-world scenarios.
- Apply multimodal sensor fusion to build robust autonomous-driving architectures.
Requirements
- Currently pursuing a degree in Computer Science, Robotics, or a related field, with expected graduation between December 2026 and June 2027.
- Strong programming experience in C++ or Python.
- Experience in one or more of machine learning, robotics, computer vision, data mining, or LiDAR.
- Knowledge of data structures, 3D geometry, and advanced algorithms.
- Foundation in robotics principles including state estimation, 3D reconstruction, and visual odometry.
- Strong software and computing fundamentals.
- Experience with Large Language Models or Vision Language Models is a bonus.
Benefits
- 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.
- The interview process may include an online assessment, a recruiter call, and four to five interviews.
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.