Salary
$120k – $165k per year
Location
In office (San Jose)
Employment
Full-Time
Overview
Company
Impact
Profile match
To Transform Urban Living with Autonomous Driving WeRide - A Leading Global Autonomous Driving Technology Company WeRide (NASDAQ: WRD, HKEX: 0800) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4.
What you will do:
- Team Introduction:
- 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.
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:
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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