Software Engineer Intern – Motion Planning (Autonomous Vehicles)

Software Engineer Intern – Motion Planning (Autonomous Vehicles)

We are looking for a highly motivated Software Engineer Intern (Motion Planning) to join our team and contribute to the development of cutting-edge motion planning algorithms for autonomous vehicles. This role will focus on researching, prototyping, and implementing algorithms to enable safe, efficient, and intelligent vehicle motion in complex driving environments.

The internship will take place in our Singapore office and we expect a full-time internship period of at least 5 months. We offer flexible working hours and allow for remote work. The candidate will however have to live in Singapore for the duration of the internship. 

What You'll Be Doing

• 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.

What We're Looking For

• Pursuing or completed a Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
• Strong understanding of motion planning fundamentals for autonomous systems.
• Proficiency in Python or C++ with experience in algorithm development.
• Familiarity with robotics software frameworks such as ROS or planning benchmarks like nuPlan.
• Experience with optimization techniques for trajectory planning.
• Strong problem-solving skills and ability to debug complex planning issues.
• Comfortable working in a Linux development environment.

Bonus Points

• Experience with Model Predictive Control (MPC) or sampling-based planning methods.
• Knowledge of uncertainty-aware planning or stochastic optimization.
• Familiarity with reinforcement learning or deep learning for motion planning.
• Exposure to real-world autonomous vehicle testing and data-driven evaluation.

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.  

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit  www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.