Autonomy & Robotics Engineering Intern — UAS Systems

AV; Pottstown (Montgomery County); On-site; USD 28,000 - 34,000; Part time

Benefits offered by this job

Medical, dental, vision

401K with company matching

9/80 work schedule

Paid holiday shutdown

Job summary

AeroVironment is seeking an Autonomy & Robotics Engineering Intern for a 12-week, onsite Summer Internship Program in the United States. You will work with a team of engineers on autonomous behaviors, machine perception, and robotic control systems for unmanned aerial systems, gaining experience in algorithms, simulation, and real hardware in a fast-paced R&D environment.

You will apply classroom knowledge to cutting-edge autonomy applications with mentorship from senior engineers, while

Qualifications

• Pursuing a Bachelor’s or Master’s degree in Computer Science, Aerospace, Electrical Engineering, Robotics, or a related technical field.
• Coursework or project experience in robotics, autonomy, or computer vision.
• Proficiency in C/C++ (C++11 or later preferred).
• Familiarity with Python and/or MATLAB for data analysis or prototyping.
• Interest in working with UAS, robotics, or autonomous systems.

Responsibilities

• Assist in design, implementation, and testing of algorithms for computer vision, tracking, and target detection.
• Support development and debugging of autonomy software on simulation platforms and real hardware.
• Collaborate with teammates on testing, data collection, and experimental design.
• Participate in code reviews and integration efforts across multidisciplinary teams.
• Document and present findings in internal reports or presentations.
• Perform other duties as assigned.

Skills

C/C++

Python

MATLAB

Robotics

Autonomy

Education

Pursuing Bachelors/Masters in CS/Engineering

Tools

ROS

Job description

AeroVironment is seeking an Autonomy & Robotics Engineering Intern for a 12-week, onsite Summer Internship Program in the United States. You will work with a team of engineers on autonomous behaviors, machine perception, and robotic control systems for unmanned aerial systems, gaining experience in algorithms, simulation, and real hardware in a fast-paced R&D environment.

You will apply classroom knowledge to cutting-edge autonomy applications with mentorship from senior engineers, while