Research Software Intern - SLAM, Machine Learning & Sensor Calibration

Research Software Intern - SLAM, Machine Learning & Sensor Calibration

We are seeking highly motivated Master's or PhD students to join our team as a Research Intern to conduct cutting-edge research and development in Localization, Mapping and Calibration. This is an exceptional opportunity to contribute directly to the advancement of autonomous vehicle technology, working alongside a team that is leading the industry in location, mapping and calibration innovation.

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; however, the candidate will need to reside in Singapore for the duration of the internship.

What you'll be doing:

• Conduct advanced research and development on state-of-the-art state estimation problems, specifically focusing on scalability across city and multi-city environments. Research topics including, but not limited to: SLAM methods for city-scale mapping technologies, outdoor sensor calibration technologies, etc.
• Work with large-scale internal datasets to demonstrate the effectiveness of your research.
• Collaborate with different teams to deploy your research results onto autonomous vehicles.
• Publish the research results in papers and patents.

What we are looking for:

• Currently enrolled in a Master's or PhD program in Computer Science, Electrical Engineering, Robotics, or a similar technical field of study.
• Strong research background in the field of SLAM, state estimation, and/or sensor calibration, with publications in any of the top-tier conferences (e.g., CVPR, ICCV, ECCV, ICRA, IROS, RSS).
• Experience in at least one of the following: applying machine learning techniques to mapping or geospatial problems, working with large-scale mapping datasets or systems, utilizing online calibration techniques for autonomous driving or robotics systems, or demonstrating a strong theoretical and practical background in computer vision (especially sensor calibration/SLAM).
• Strong communication and interpersonal skills.
• Proficiency in C++/Python coding, having experience in onboard programming, with an understanding of real-time systems is a plus.
• Previous experience in autonomous driving is preferred.

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.

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.