Engineering Intern

We embrace today’s most exciting machine learning challenges with technologies including uncrewed autonomous systems, large language models, realistic simulation environments, computer vision, and reinforcement learning.

We are looking for Engineering Interns who enjoy tackling complex challenges and pushing the boundaries of new technologies. In this role, you’ll collaborate on the design, development, prototyping, and testing of robotics systems and components.

This is an onsite internship located in Lafayette, IN – 10 minutes away from the Purdue campus.

Our Internship Experience

You’ll work directly under the mentorship of our Director of Autonomy on hands-on R&D projects that push you to explore, create, play, problem-solve, and learn by doing. You’ll also have access to our broader engineering community through cross-functional presentations and workshops to begin building lasting industry relationships. Our internship program is an excellent way to kickstart your career at MCT. We have career tracks for:

- Mechanical Engineering

- Software Engineering

- Autonomy Engineering

- Electrical Engineering

Who You Are

- Currently enrolled in a Bachelor’s program in Mechanical Engineering, Electrical Engineer, Computer Science, or related field

- Energized by open-ended technical challenges in early-stage product development

- Turns failures into learning opportunities

- 0-2 years of experience building vehicles, robotics, or drones

- Strong communication, interpersonal, and collaboration skills

Responsibilities

- Design, develop, integrate, and maintain systems for autonomous vehicles and drones

- Create and execute R&D engineering experiments and document technical findings

- Collaborate cross-functionally to develop innovative solutions to specifications

Compensation

This role is paid hourly. Compensation is based on a variety of factors, including but not limited to relevant experience, ability, education, certifications, specialized skills, business needs, and scope and responsibilities of the position.

Benefits

- Flexible part-time and full-time scheduling around academic obligations

- Inclusive PTO policy to support work-life balance

Machina Cognita Technologies does not discriminate on the basis of race, color, religion, gender, sexual orientation, marital status, disability, genetic information, age, or other non-merit factors. We recognize and appreciate the value of a diverse workforce and encourage all qualified individuals to apply.