Perception & Computer Vision Engineer – Autonomous Driving

WeRide.ai; San Jose (CA); On-site; USD 120,000 - 165,000; Full time

Benefits offered by this job

Premium Medical, Dental and Vision

Free Daily Meals

Paid vacations and holidays

401K plan

Job summary

WeRide.ai is seeking a student-senior role to contribute to perception and autonomous driving research. You will develop real-time CV/ML models, build data pipelines for labeling, training, and evaluation, and advance perception algorithms with multi-modal sensor fusion.

The position emphasizes cutting-edge perception work, state-of-the-art LLM/VLM ideas, and collaboration with the AI team to push autonomous driving capabilities forward.

Qualifications

• Currently pursuing a CS/Robotics degree with expected graduation between Dec 2026 and Jun 2027.
• Strong programming experience in C++ or Python.
• Experience in machine learning, robotics, computer vision, data mining, or LiDAR.
• Solid foundation in data structures, 3D geometry, and advanced algorithms.
• Foundational robotics knowledge including state estimation, 3D reconstruction, and visual odometry.

Responsibilities

• Develop and deploy perception and deep learning models for real-time integration into the autonomous driving system.
• Create and optimize data pipelines for data mining, labeling, training, and evaluation for onboard development.
• Conduct advanced research in perception algorithms addressing object detection, segmentation, road understanding, and motion prediction.
• Leverage multi-modal sensor fusion to build robust architectures for autonomous driving.

Skills

C++

Python

ML

Robotics

Computer Vision

Data Mining

LiDAR

3D Geometry

State Estimation

Visual Odometry

Education

Pursuing CS/Robotics degree

Job description

WeRide.ai is seeking a student-senior role to contribute to perception and autonomous driving research. You will develop real-time CV/ML models, build data pipelines for labeling, training, and evaluation, and advance perception algorithms with multi-modal sensor fusion.

The position emphasizes cutting-edge perception work, state-of-the-art LLM/VLM ideas, and collaboration with the AI team to push autonomous driving capabilities forward.