New Grads 2027 - Software Engineer, Algorithm

About the role

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4 and is the world's first publicly listed autonomous vehicle (AV) company. Its business footprint now spans more than 60 cities across 13 countries. Powered by the intelligent, versatile, and highly adaptable WeRide One platform, the company provides autonomous driving products and services ranging from Level 2 to Level 4, addressing mobility, logistics, and urban services.

What You May Work On: - Prediction: Design models that forecast the behaviors and intentions of surrounding vehicles, pedestrians, and other dynamic agents, enabling safer driving decisions

- Mapping & Localization: Explore algorithms for vehicle localization and environment representation, leveraging maps, onboard sensors, and learning-based methods to ensure reliable positioning in diverse conditions

- Planning & Control: Contribute to motion planning and decision-making modules that support safe, efficient, and human-like driving behaviors, as well as robust vehicle control algorithms

- Simulation Core: Build simulation platforms with realistic sensor modeling and 3D environment reconstruction to accelerate the validation and development of autonomous driving technologies

Qualifications: - MS/PhD degree in Robotics, Computer Science, Physics, Computer Vision, Graphics, Machine Learning, Automation or equivalent practical experience, with an expected graduation date between December 2026 and June 2027.

- Proficient in C++ and/or Python with knowledge of its latest features.

- Strong analytical and problem-solving skills.

- Excellent communication, and cross-functional team collaboration abilities.

- Passion for innovation in the autonomous vehicle industry.

Bonus Points: - Published research presented at leading machine learning or robotics conferences such as NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA.

- Proficient in machine learning frameworks, such as TensorFlow or PyTorch.

- Experience in open-source competitions or challenges related to autonomous driving.

Team Introductions: - Prediction Team:

The Prediction team liaises with the perception team upstream and the planning and control team downstream. We develop diverse deep learning models using perceptual information to forecast potential future behaviors of nearby obstacles. In scenarios lacking sufficient data, the prediction team generates predictions and supplements through analysis of scene features and logical reasoning.

- Planning and Control Team:

The main goal of the planning and control team is to find safe driving strategies in complex autonomous driving environments. We ensure safe, efficient navigation by designing algorithms for route planning and vehicle control to respond to dynamic conditions. Our work integrates sensor data and predictive models to make real-time decisions for smooth and reliable autonomous driving.