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Autonomy and Real-Time Planning Intern

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Recruitment began on January 11, 2026
and the job listing Expires on February 11, 2026
Internships
Apply Now

The Autonomy & Real-Time Planning Group is seeking an undergraduate student to support current programs developing autonomy solutions for the air, ground, and undersea domains. In this role, the student will be responsible for supporting development needs of our sponsors as part of a multidisciplinary team. Duties may include analysis, algorithm development, and software development for autonomy applications.

Job Description:

Duties/Responsibilities

Design, develop, and enhancement engineering solutions for challenging problems.

Implement, test, perform analysis, and provide documentation support.

Generate and present test reports including plots, tables, evaluation criteria, and conclusions from data collected and analyzed throughout the test process.

Complete assignments designed to develop a practical knowledge of processes, procedures, equipment, facilities, and systems as well as their interrelationships within engineering disciplines.

Performs other duties as assigned.

Program Requirements

Enrolled in an accredited full-time undergraduate or graduate degree program required.

There is flexibility regarding hours and program duration based on applicant’s school schedule and availability.

Skills/Abilities

Excellent written and oral communication skills.

Excellent work ethic with the ability to work independently or in a team environment.

Ability to adapt to ever-changing environments, risks, and vulnerabilities.

Strong computer skills including MS Word, PowerPoint and Excel.

Additional Job Description:

Qualifications:
• Students should be pursuing a degree in Computer Science, Robotics, Aerospace Engineering, Electrical Engineering, Mechanical Engineering, or related technical fields.
• Preferred candidate will have hardware and software experience.
• Preferred candidate will have an interest and relevant experience in robotic research in motion planning and control.
• Preferred candidate will have strong programming experience (e.g., C/C++, Python, MATLAB), with knowledge of the Robot Operating System (ROS).

Apply Now

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Phone
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Email
career@cornell.edu
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Address

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Ithaca, NY 14853

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Phone
(607) 255 5296
Email
career@cornell.edu
Website
http://career.cornell.edu
Address

103 Barnes Hall
Ithaca, NY 14853

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