Motional

About Motional

Driving the future of autonomous mobility safely

🏢 Tech, Automotive👥 251-1K📅 Founded 2020📍 Boston, Massachusetts, United States

Key Highlights

  • Partnership with Lyft for autonomous ride-hailing services
  • Extensive testing in Las Vegas and Boston
  • Headquartered in Boston, Massachusetts
  • Over 1,000 employees dedicated to autonomous technology

Motional, headquartered in Boston, Massachusetts, is a leader in autonomous vehicle technology, specializing in driverless cars and mobility solutions. The company has partnered with major players like Lyft and has conducted extensive testing in cities such as Las Vegas and Boston. With over 1,000 e...

🎁 Benefits

Motional offers competitive salaries, equity options, generous PTO, comprehensive health benefits, and a flexible remote work policy to support work-l...

🌟 Culture

Motional fosters a culture of innovation and safety, emphasizing collaboration among engineers and researchers to push the boundaries of autonomous te...

Overview

Motional is seeking a Research Software Intern to conduct advanced research in SLAM, machine learning, and sensor calibration for autonomous vehicles. You'll work with large datasets and collaborate with teams to deploy research results. This internship is ideal for Master's or PhD students.

Job Description

Who you are

You are a Master's or PhD student in Computer Science, Electrical Engineering, Robotics, or a similar technical field. You have a strong research background in SLAM, state estimation, and sensor calibration, with publications in top-tier conferences such as CVPR, ICCV, ECCV, ICRA, IROS, or RSS. Your motivation and passion for advancing autonomous vehicle technology drive you to excel in a collaborative environment.

You possess a solid understanding of state estimation problems and are eager to tackle challenges related to scalability in city and multi-city environments. Your ability to work with large-scale datasets allows you to demonstrate the effectiveness of your research, and you are excited about the opportunity to publish your findings in papers and patents.

You thrive in a team-oriented atmosphere, collaborating with various teams to deploy your research results onto autonomous vehicles. Your communication skills enable you to articulate complex ideas clearly and effectively, making you a valuable asset to the team.

Desirable

Experience with advanced SLAM methods and outdoor sensor calibration technologies is a plus. Familiarity with programming languages and tools relevant to machine learning and data analysis will enhance your contributions.

What you'll do

As a Research Software Intern at Motional, you will conduct cutting-edge research and development in localization, mapping, and calibration for autonomous vehicles. Your primary focus will be on advanced SLAM methods for city-scale mapping technologies and outdoor sensor calibration technologies. You will collaborate with a team of experts to push the boundaries of what is possible in autonomous vehicle technology.

You will work with large-scale internal datasets, applying your research to real-world scenarios and demonstrating the effectiveness of your findings. Your contributions will directly impact the advancement of autonomous vehicle technology, and you will have the opportunity to publish your research results in academic papers and patents.

Throughout your internship, you will engage in discussions with cross-functional teams, sharing insights and collaborating on deploying research results onto autonomous vehicles. You will gain valuable experience in a fast-evolving field and have the chance to make a meaningful impact on the future of transportation.

What we offer

Motional provides a flexible working environment, allowing for remote work while requiring residency in Singapore for the duration of the internship. You will have the opportunity to work full-time for at least 5 months, gaining hands-on experience in a leading company in the autonomous vehicle industry. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

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