(Senior) Software Engineer (Deep Learning)

• 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

Benefits

• Comprehensive medical, dental, and vision insurance
• Generous PTO and paid holidays
• Daily meals and bi-weekly happy hours
• Equity opportunity
• Retirement plans
• Frequent tech talks

• Experience in applied machine learning including data collection and analysis, evaluation and feature engineering
• Expertise in C++/Python
• 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
• Strong communication skills and team spirit
• PhD in Deep Learning, Machine Learning, Robotics, Natural Language Processing, or similar technical field of study
• Publications on top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/ICLR/AAAI/IJCV/PAMI
• Experience in applying ML/DL for behavior prediction, imitation learning, motion planning
• Experience in deploying deep learning algorithms for real time applications, with limited computing resources
• Experience in GPU/CUDA/TensorRT
• Experience in convex optimization, computational geometry or linear algebra