Intern - AI and Robotics

Amentum•Huntsville, AL

About The Position

Build a Project that Utilizes AI and Robotics! As an Amentum Space Exploration Division (ASED) intern, you will work alongside engineers and scientists on hardware development, payload integration & operations, laboratory & test operations, modeling & simulation, space environments, scientific research and propulsion systems for programs like Human Landing Systems, Space Launch Systems and the International Space Station! The NASA MSFC SHARC Lab seeking a highly motivated and skilled intern to join its innovative project, REACH. This cutting-edge interactive system enables users to control a robotic arm using voice commands, leveraging advanced technologies such as custom Large Language Model (LLM) applications and image recognition. Position Description: The Intern will support Project REACH, an interactive project integrating various AI and robotics tools to enable seamless human-robot interaction. As an intern, you will have the opportunity to contribute to the development of this exciting project, working with a talented team of engineers and researchers. While you will assist in a variety of tasks when building the application, your primary focus will be image recognition and robotic simulation. Responsibilities will include: Assist in the design, implementation, and testing of REACH's components, including image recognition and simulation. Collaborate with the team to develop and deploy ROS2 programs for robotics control and perception. Program devices that communicate using various messaging protocols Utilize Gazebo simulations for robotic arm testing and validation. Work with Docker containers to ensure seamless deployment of REACH components. Develop image recognition programs and integrate them with the project's architecture. Expectations included in the ASED Internship: You are expected to have a valid driver’s license, have access to an automobile, and be able to drive yourself to work locations. You will be expected to attend MSFC facility scheduled tours, Technical Fellow talks, luncheons, and training sessions in addition to your work. We highly encourage you to participate in activities outside of work with your fellow interns. These activities will be scheduled, with your input, by your social coordinators and will be beneficial in forming a cohesive group and lasting friendships. Current enrollment in an Engineering program or related BS degree program is required. Attendance at an ABET accredited institution is desired. Must be able to provide own transportation. Proper ‘STAR-ID’ driver’s license for registration and admittance to Redstone Arsenal is required.

Requirements

Strong programming skills in Python
Familiarity with robotics, AI, and machine learning concepts
Excellent communication, teamwork, and collaboration skills
Current enrollment in an Engineering program or related BS degree program is required.
Attendance at an ABET accredited institution is desired.
Must be able to provide own transportation.
Proper ‘STAR-ID’ driver’s license for registration and admittance to Redstone Arsenal is required.
You are expected to have a valid driver’s license, have access to an automobile, and be able to drive yourself to work locations.

Nice To Haves

Experience with ROS2 and Linux (Ubuntu/Debian) operating systems
Prior experience with robotic arm control and programming
Familiarity with custom LLM app development
Experience with Linux shell scripting and automation tools (e.g., Ansible)
Knowledge of Gazebo simulations and Docker containers
Proficiency in image recognition libraries (e.g., OpenCV)

Responsibilities

Assist in the design, implementation, and testing of REACH's components, including image recognition and simulation.
Collaborate with the team to develop and deploy ROS2 programs for robotics control and perception.
Program devices that communicate using various messaging protocols
Utilize Gazebo simulations for robotic arm testing and validation.
Work with Docker containers to ensure seamless deployment of REACH components.
Develop image recognition programs and integrate them with the project's architecture.