• Master in Computer Science, or at least 2 years of equivalent industry experience in similar technical fields
• Solid understanding of data structures, algorithms, parallel computing, code optimization and large scale data processing
• Experience in applied machine learning including data collection and analysis, evaluation and feature engineering
• Expertise in C++/Python
• Strong communication skills and team spirit

Desirable

• Work with experts in the field of self-driving vehicles on software architecture and design, system and module design, evaluation metrics, specification and implementation of test and regression frameworks
• Design and develop large-scale foundation models trained on vast of real world data
• Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems; scale them to data pipelines; and streamline them to run in real-time on the cars
• Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs)
• Optimize deep learning models to run robustly under tight run-time constraints