Summary
Join Motional's Planning team as a technical expert to define motion planning and control systems for autonomous vehicles. Lead research and development of novel algorithms, cross-functional projects, and system performance monitoring. Guide project teams, architect and integrate motion planning algorithms, and build a robust codebase. Drive technical collaboration with other teams and mentor team members. Contribute to state-of-the-art solutions and lead significant projects in a production environment. This role requires expertise in robotics, software development, and autonomous driving.
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
Responsibilities
- Lead the research and development of novel algorithms and sub-systems for motion planning in autonomous driving, thereby expanding the Operational Design Domain. This includes, but is not limited to, advanced search-based and sophisticated geometry-based methods, as well as decision-making under uncertainty with a strong emphasis on probabilistic approaches
- 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 your 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
Preferred Qualifications
- Experience with probabilistic models, including but not limited to Gaussian mixture models, Hidden Markov Models, and Particle Filters
- Experience with machine learning techniques (such as Bayesian modeling and inference techniques) for decision making under uncertainty
- Experience with the Bazel build framework
Benefits
- Medical
- Dental
- Vision
- 401k with a company match
- Health saving accounts
- Life insurance
- Pet insurance
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