
Autonomy & Robotics Engineering Intern
AeroVironment
internship
Posted on:
Location Type: Office
Location: Simi Valley • California • Minnesota • United States
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Job Level
About the role
- Assist in the design, implementation, and testing of algorithms related to: Computer vision, object tracking, and target detection
- Guidance, Navigation, and Control (GNC) integrated with visual sensors
- State estimation using inertial and visual data
- Autonomous behavior modeling (e.g., finite-state machines, behavior trees)
- Path planning and multi-vehicle coordination
- Support the 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
Requirements
- Currently 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 areas such as robotics, autonomy, or computer vision
- Proficiency in C/C++ (modern standards like 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
- Strong analytical, communication, and problem-solving skills
- Willingness to learn, collaborate, and work in a hands-on environment
Benefits
- AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
C/C++PythonMATLABcomputer visionobject trackingtarget detectionGuidance Navigation and Control (GNC)state estimationautonomous behavior modelingpath planning
Soft Skills
analytical skillscommunication skillsproblem-solving skillscollaborationwillingness to learn