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# Software Engineer

- **Company:** WeRide
- **Location:** San Jose, CA, United States
- **Salary:** $120,000.0 - $165,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithm Design, Computer Vision, C++ (Programming Language), Computer Programming, Data Mining, Data Structures, Python (Programming Language), Machine Learning, Language Modeling, Object Detection, Sensor Fusion, Large Language Models, Deep Learning, Information Technology, Lidar, Data Pipelines
- **Published:** August 18, 2026
- **Apply:** https://www.dice.com/job-detail/63f0b315-fb7d-4a84-94bf-a06109ee4410

## About the Role

* 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)

## Description

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.


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