Key Responsibilities

• Research, design, implement, and deploy advanced motion planning and control algorithms for autonomous vehicles and robotic platforms.
• Develop low-latency, high-performance software prototype modules and rigorously integrate, test, and validate them in simulation environments and real autonomous driving vehicles.
• Continuously enhance the existing software stack architecture for optimal performance (in terms of speed and memory), scalability, modularity, and robustness.
• Utilize object-oriented and structured programming techniques as well as best software development practices to ensure a high-quality software and enhance readability, extensibility, portability, and maintainability of the software product.
• Develop and maintain essential software infrastructure and tools, such as test scenarios, baseline algorithms, module interfaces, and debugging tools, facilitating team-wide development and research efforts.
• Perform software testing (including regression, unit, integration, system testing), conduct experimental validation, analyze outcomes, and iterate algorithms for continuous performance improvement.
• Collaborate with interdisciplinary teams to translate research advancements into practical software solutions.
• Document research methodologies, technical solutions, and software implementations clearly and effectively for publications and presentations.

Minimum Qualifications

• Ph.D. in Robotics, Computer Science, Mechanical Engineering, or a related engineering discipline.
• Demonstrated expertise in developing motion planning, robotics, and control algorithms, and their integration into autonomous systems.
• Experience in designing and developing a production-quality software for a large-scale project or safety-critical system.
• Proficiency in modern C++, Python, MATLAB, and Robot Operating System (ROS).
• Strong object-oriented programming skills, data structures and algorithms knowledge, and software design experience.
• Strong fundamentals in numerical techniques, optimization methods, and computational geometry.
• Proven experience implementing motion planning and trajectory optimization algorithms on robotic or autonomous vehicle systems.
• Hands-on experience with modern software engineering tools, including Git and containerization technologies (e.g., Docker).
• Experience in developing multi-threaded and parallel processing software for high-performance deployment.
• Research experience in autonomous driving systems or robotics through academic or industry projects.
• Experience in taking projects from problem formulation through implementation and deployment.