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Salary
$120k – $165k per year
Location
In office (San Jose)
Visa
H-1B filings in 12 months: 31 · for this role: 28 · green card filings: 12
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Aug 10, 2026. WeRide scores B on the Alion truth index.

Overview
Company
Impact
Profile match
WeRide is an autonomous driving technology company that develops self-driving systems from Level 2 to Level 4, including robotaxis, robobuses, robosweepers and robovans. It operates commercial services in China, the Middle East and Southeast Asia and is listed on NASDAQ and the Hong Kong Stock Exchange. The company is headquartered in Guangzhou, China.

What you will do:

  • Team Introduction:
  • The AI team is responsible for developing CV/ML algorithms to understand the surroundings of ego vehicles in real time , including obstacle detection, online mapping, and scene understanding. The perception system takes inputs from multiple sensors across time, and outputs various obstacle-level and scene-level understandings for downstream modules such as prediction and planning, etc. In the AI team, you will:

  • Develop and deploy cutting-edge perception and deep learning models, including computer vision models, vision-language and large language models (VLMs and LLMs), for real-time integration into our system.
  • Create and optimize data pipelines for data mining, labeling, training, and evaluation, supporting comprehensive onboard development.
  • Conduct advanced research in perception algorithms to address complex, real-world scenarios, focusing on areas like object detection, segmentation, road understanding, and motion prediction.
  • Leverage multi-modal sensor fusion techniques to build robust architectures tailored for autonomous driving.

Qualifications:

  • Currently pursuing a degree in Computer Science, Robotics, or a related field, with an expected graduation date between December 2026 and June 2027.
  • Strong programming experience in C++ or Python.
  • Experienced in one or more of the following areas: machine learning, robotics, computer vision, data mining, LiDAR.
  • Knowledgeable in data structures, 3D geometry, and advanced algorithms.
  • Solid foundation in core robotics principles, including state estimation, 3D reconstruction, and visual odometry.
  • Excellent software and computing fundamentals.

Bonus Points:

  • Experience with Large Language Models (LLM) or Vision Language Models (VLM)
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