Mission Summary:

The Perception Intern will support the development and evaluation of end-to-end models for autonomous driving, building on existing perception systems to enable planning and decision-making. This role involves working with multi-modal sensor data, computer vision models, and learning-based planning approaches to extend perception outputs into downstream driving tasks.

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.

Responsibilities:

• Support the design and implementation of end-to-end or perception-to-planning models for autonomous driving

• Analyze multi-modal sensor data (e.g., images, video, lidar, radar) to improve model performance and robustness

• Conduct experiments to evaluate and benchmark different model designs

• Collaborate with cross-functional teams to integrate model outputs into downstream decision-making systems

• Document experiments, model designs, and results in clear and reproducible formats

Required Skills:

• Currently pursuing a Master’s or PhD degree in Computer Science, Machine Learning, Robotics, or a related field

• Proficient in Python and/or C++

• Coursework or project experience in computer vision and machine learning

• Familiarity with deep learning frameworks such as Py Torch or Tensor Flow

• Experience working with structured or unstructured sensor data (e.g., images, video, point clouds)

Preferred Skills:

• Experience with autonomous driving, robotics, or learning-based planning

• Exposure to end-to-end models, trajectory prediction, or action/behavior modeling

• Experience with 3D perception, point cloud processing, or multi-sensor fusion

• Familiarity with evaluation frameworks and datasets for autonomous systems

• Project or internship experience involving foundation models (e.g., VLM, VLA) or perception-to-action pipelines

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.