Lead the research and development of novel algorithms and sub-systems for motion planning in autonomous driving, expanding the Operational Design Domain
Lead cross-functional projects to define new or upgrade existing interfaces to solve problems
Monitor overall system performance to identify areas for improvement and develop technical strategies to address deficiencies
Guide cross-functional project teams to provide comprehensive solutions and demonstrate the ability to think beyond the confines of the planning system
Architect and integrate complex combinations of motion planning and prediction algorithms, driving their evaluation and refinement for real-world deployment
Design and build a robust, scalable, and high-performance codebase that facilitates rapid exploration, prototyping, and rigorous evaluation of innovative motion planning approaches and algorithms
Drive technical collaboration and interface seamlessly with perception and prediction components upstream and trajectory optimization, tracking and control components downstream, ensuring end-to-end system performance
Leverage deep software development and research expertise to teach others better software practices and principles, fostering a culture of technical excellence
Guide and mentor junior and senior team members, cultivating a culture of product-focused engineering, rigorous research, and advanced development
Requirements
PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field; or a Master’s degree with 7+ years of experience in the robotics (preferably AV industry)
10+ years of research experience in robotics / motion planning, with a proven track record of contributing to state-of-the-art solutions and leading significant projects
5+ years of C++ software development, with an emphasis on developing high-performance and reliable systems
Past experience owning and leading technical development on complex features from problem formulation through research, implementation, and deployment in a production environment, demonstrating significant impact
Thirst for knowledge, continuous innovation, and a drive to push the boundaries of autonomous driving technology, acting as a technical thought leader