Autonomy & Robotics Intern: UAS & Autonomous Systems

AV

Albuquerque (NM)

On-site

USD 2,755,000 - 4,133,000

Full time

13 hours ago
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Benefits offered by this job

Medical, dental, vision
401K with company matching
9/80 work schedule
Holiday shutdown

Job summary

AeroVironment invites you to join its Summer Internship Program in Albuquerque as an Autonomy & Robotics Engineering Intern. Work with a team of engineers on autonomous behaviors, machine perception, and robotic control for UAS and other platforms, gaining hands-on experience with algorithms, simulation, and hardware in a fast-paced R&D environment.

This 12-week, onsite program targets motivated students or recent graduates, offers mentorship from senior engineers, and may include relocation or

Qualifications

  • Pursuing a bachelor’s or master’s in a technical field such as CS, aerospace, electrical engineering, or robotics.
  • Coursework or project experience in robotics, autonomy, or computer vision.
  • Proficiency in C/C++ (C++11+).
  • Familiarity with Python and MATLAB for data analysis or prototyping.
  • Interest in UAS, robotics, or autonomous systems.
  • Strong analytical, communication, and problem-solving skills.
  • Willingness to learn and collaborate in a hands-on environment.

Responsibilities

  • Assist design, implementation, and testing of algorithms for computer vision, tracking, and detection.
  • Support GNC with visual sensors and state estimation.
  • Work on autonomous behavior modeling and path planning.
  • Contribute to code reviews and integration across teams.
  • Document findings in internal reports and presentations.
  • Perform other duties as assigned.

Skills

C/C++ (modern)
Python
MATLAB
Robotics
UAS / autonomous systems
Analytical skills

Education

Bachelor's or Master's in CS/Aerospace/EE/Robotics

Tools

ROS
MATLAB
Linux

Job description

AeroVironment invites you to join its Summer Internship Program in Albuquerque as an Autonomy & Robotics Engineering Intern. Work with a team of engineers on autonomous behaviors, machine perception, and robotic control for UAS and other platforms, gaining hands-on experience with algorithms, simulation, and hardware in a fast-paced R&D environment.

This 12-week, onsite program targets motivated students or recent graduates, offers mentorship from senior engineers, and may include relocation or

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