Sr. Machine Learning Engineer - Auto Park Motion Planning

Sr. Machine Learning Engineer – Auto Park Motion Planning

Master or Ph.D. in Computer Science, Robotics, ML or a related field
Professional experience implementing reliable production systems involving large-scale systems, evaluation pipelines, ML models and performance metrics
Expert level knowledge and experience Python and PyTorch or TensorFlow
Proficiency in C++ and hands-on SWE design skills
Solid understanding of state-of-the-art models and approaches or perception, prediction, or planning in the self-driving space
Comfortable with fundamentals of physics, probability, and statistics
Excellent communication skills and willingness to learn

Develop and maintain software and algorithms enabling vehicles to complete parking maneuvers safely, accurately, and reliably
Design reusable, optimized behavior and motion planning software architectures for Level 2/3/4 autonomous parking systems
Construct and implement advanced machine learning algorithms for data-driven parking behavior
Lead software development by leveraging stack architecture expertise to design and implement algorithms in real-world systems
Develop high performance behavior and motion planning algorithms with low latency
Design, prototype, test, and release cutting-edge planning software stacks for Lucid production programs
Implement high-quality automotive grade software code compliant to automotive quality and safety standards
Work closely with other teams to ensure a seamless and robust implementation and deployment of motion planning products for autonomous parking systems
Maintain alignment through effective communication
Support the production verification and validation of the motion planning algorithms using prototype vehicles and pre-production vehicles