Engineering Intern, Rapid Prototyping Group

IQT•Mclean, VA
•$40 - $55•Hybrid

About The Position

IQT’s Rapid Prototyping Group explores the vast range of risks and opportunities emerging in Open-Source and commercial technical capabilities around the world. We seek to better understand evolving design methodologies, new techniques, and approaches that are fundamentally redefining global technical development. In working at the Rapid Prototyping Group, you will join a multidisciplinary team of engineers addressing problems of national interest through hands-on work. We operate on a rapid prototyping philosophy that includes efforts in all phases of a project life cycle (design, development, testing, and assessment). Interns are provided the unique ability to work on real-world problems and be part of providing impactful solutions.

Requirements

  • Due to contractual reasons, U.S. Citizenship is required
  • Responsive, pro-active, enthusiastic, curious, and adaptable
  • Self-starter with demonstrated capacity for independent initiative and an attention to detail.
  • A love of solving problems and building things in the hardware, software, and Hacker/Maker/DIY spaces
  • An ability to communicate key results in verbal, visual, and written media
  • Strong programming background. We typically use Python
  • Experience with Raspberry Pi Single Board Computers

Nice To Haves

  • Rising seniors or graduate students pursuing a Bachelor's or Master's degree in a STEM field (e.g., Computer Science, Physics, Engineering) who are interested in a potential full-time role upon graduation.
  • Game design experience, Maritime Robotics, ML Engineering and Data Wrangling, RF Collection, Anything Rocket Related, exceptional Lego builds, among many others will win you bonus points
  • Experience with deploying machine learning models is a plus
  • Experience with Docker is a plus

Responsibilities

  • Specific projects will be identified in the spring of 2026 but are typically found at the intersection of hardware , software and AI.
  • Maritime Autonomy: experimentation with open-source autopilots on maritime platforms to understand the state of the art with respect to open-source.
  • Data Collection and Analysis: Developed a hardware/software system for collecting images of passing aircraft to collect, label, and train machine learning models.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service