Autonomy & Robotics Engineer Intern
Summer 2023, Manassas, VA
Posted on 10/31/2022
INACTIVE
AeroVironment

501-1,000 employees

Unmanned aircraft systems supplier
Company Overview
AeroVironment’s mission is to secure lives and advance sustainability through transformative innovation. The company is committed to the development of unmanned aircraft solutions and systems to provide their customers with a fresh vantage point, positioning them to see the world with new eyes and extending their reach beyond the line of sight.
Robotics & Automation
Hardware
Aerospace

Company Stage

N/A

Total Funding

$75.9M

Founded

1971

Headquarters

N/A

Locations
Remote • Manassas, VA, USA • Virginia, USA
Experience Level
Intern
Desired Skills
Python
Communications
R
C/C++
Computer Vision
Requirements
  • U.S. Citizenship required
  • Must be currently enrolled in a college or university pursuing a Bachelor's, Master's, or PhD in a technical or engineering major related to work assignment during the internship
  • Must have a minimum cumulative 3.0 out of a 4.0 GPA or equivalent
  • Must be available to work full-time (40 hours/week) for 8-12 weeks during the Summer
  • Possess a desire to build things; have a strong engineering aptitude; and thrive working in a team environment
  • UAV or Robotics experience
  • Completed coursework relevant to major; General engineering fundamentals, mathematics, physics, material properties
  • Familiarity with structured development techniques
  • Ability to excel in a fast-paced, deadline-driven environment, where small teams share a broad variety of duties
  • Effective problem-solving, analytical, interpersonal and communication skills
  • Experience with system development, software or hardware, on embedded platforms (NUC, imx6, Zynq) is highly preferred
  • Good programming skills in C++ or Python, some programming experience preferred
  • Experience with ROS, particularly in the areas of navigation, perception, or control preferred
  • Some working knowledge in one of the following is preferred:
  • Path Planning
  • Computer vision - classical or modern, deep learning based
  • SLAM and/or mapping
  • Flight test or R/C experience a plus