Autonomy Intern - Summer 2027

Oshkosh Corporation•Lyon Charter Township, MI

5d•$18 - $37•Onsite

About The Position

Pratt Miller is a product development company in motorsports, defense, and mobility industries providing clients with product engineering and low-volume production solutions. Our range of research & development, engineering, prototype manufacturing, test & validation, and low-rate production capability help our customers bring their high-quality products to market faster. We are seeking a talented and motivated Autonomy Engineering intern to join our dynamic team. This internship offers an exciting opportunity to work on real-world projects and gain hands-on experience in the field of autonomous systems. As an intern, you will collaborate with experienced engineers and researchers to develop and test advanced algorithms and technologies.

Requirements

Currently pursuing an MS or PhD (preferred) in Robotics, Computer Science, or a related field; BS candidates with relevant coursework, project experience, or demonstrated technical skills will also be considered.
Proficiency in C/C++ programming
Experience with ROS1 or ROS2 (Robot Operating System) and Linux
Excellent problem-solving skills and a proactive attitude
Ability to work independently and as part of a team
Hands-on experience with autonomous systems through research, coursework, projects, competitions, or previous internships

Nice To Haves

At Pratt Miller, we believe that diverse perspectives and backgrounds lead to innovative solutions. We encourage individuals from all walks of life to apply, even if you don’t meet every single requirement. If you’re passionate about autonomous technology and eager to learn, we want to hear from you!

Responsibilities

Assist in the development and implementation of autonomous navigation, perception, or control algorithms.
Analyze and interpret data from sensors and other sources to improve system performance.
Collaborate with cross-functional teams to integrate autonomy solutions into various platforms.
Document and present findings and progress to the engineering team.