New Grads 2026 - Algorithm Software Engineer (Beijing/Guangzhou/Shanghai, China)

This NG position is based in Beijing, Guangzhou, or Shanghai, China.

What You May Work On:

• AI
• Develop and deploy cutting-edge perception and deep learning models, including computer vision, vision-language, and large language models (VLMs/LLMs), for real-time autonomous driving applications
• Design models that forecast the behaviors and intentions of surrounding vehicles, pedestrians, and other dynamic agents, enabling safer driving decisions
• Robotics
• Explore algorithms for vehicle localization and environment representation, leveraging maps, onboard sensors, and learning-based methods to ensure reliable positioning in diverse conditions
• 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
• Develop high-fidelity simulation scenarios, realistic agent behaviors that interact with AV algorithms, and AI-driven methodologies for simulation evaluation

Qualifications:

• MS/PhD degree in Robotics, Computer Science, Physics, Computer Vision, Graphics, Machine Learning, Automation or equivalent practical experience, with an expected graduation date before December 2026.
• 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 with Large Language Models (LLM) or Vision Language Models (VLM).
• Experience in open-source competitions or challenges related to autonomous driving.