New Grads 2027 - Software Engineer, Algorithm

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

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.