Software Engineer Intern – Motion Planning

Summary

Join Motional as a Software Engineer Intern (Motion Planning) and contribute to the development of cutting-edge motion planning algorithms for autonomous vehicles. This internship, based in Singapore, involves researching, prototyping, and implementing algorithms for safe and efficient vehicle motion. The role requires a strong understanding of motion planning fundamentals and proficiency in C++. You will collaborate with cross-functional teams and work with large-scale datasets. The internship is full-time for at least 5 months and offers flexible working hours and remote work options. Candidates must reside in Singapore during the internship.

Requirements

• Be pursuing or have completed a Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field
• Possess a strong understanding of motion planning fundamentals for autonomous systems
• Be proficient in C++ with experience in algorithm development
• Have familiarity with robotics software frameworks such as ROS or planning benchmarks like nuPlan
• Have experience with optimization techniques for trajectory planning
• Possess strong problem-solving skills and the ability to debug complex planning issues
• Be comfortable working in a Linux development environment

Responsibilities

• Research and develop motion planning algorithms for autonomous vehicles
• Prototype, test, and evaluate planning algorithms in simulation and real-world scenarios
• Implement optimization techniques for trajectory generation and path planning
• Analyze driving behavior and incorporate safety, comfort, and efficiency constraints
• Contribute to improving motion planning pipelines using data-driven approaches
• Work with large-scale datasets to evaluate and refine motion planning models
• Collaborate with cross-functional teams including perception, control, and software engineering

Preferred Qualifications

• Have experience with Model Predictive Control (MPC) or sampling-based planning methods
• Have knowledge of uncertainty-aware planning or stochastic optimization
• Have familiarity with reinforcement learning or deep learning for motion planning
• Have exposure to real-world autonomous vehicle testing and data-driven evaluation
• Be proficient in Python

Benefits

• Flexible working hours
• Remote work