The role involves leading and developing machine learning solutions for autonomous driving decision-making and motion planning. The software engineer will analyze, fine-tune, and evaluate model performance using data-driven approaches. Responsibilities include integrating and deploying models on vehicle fleets while conducting end-to-end validation and monitoring. The position requires prototyping and deploying novel solutions to improve driving logic. Additionally, the role involves collaborating with partner teams and mentoring engineers on the adoption of machine learning approaches for reasoning problems.

Candidates must possess a Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Robotics, or a related field. A minimum of 7 years of software engineering or machine learning experience is required. Proficiency in Python and at least one deep learning framework is necessary. Applicants must demonstrate experience in applied machine learning, large-scale model management, and API design.