June 2027 Co-Op - Software Engineer Intern

Shield AI•Dallas, WA

22h

About The Position

Shield AI’s Software Development Engineer Intern program includes work across user-facing applications, embedded flight software, machine learning models, and systems platforms. Over 10–12 weeks, interns work alongside full-time engineers to analyze requirements, write and debug production-quality code, and ship a real feature or capability using standard Agile development practices. Example projects include building application features or internal tools, developing embedded C/C++ software and testing it with hardware-in-the-loop, training and integrating machine-learning models, and extending platform tools, APIs, or data pipelines. The internship is paid and provides hands-on mentorship, a project contributing to the company, presentations from company leaders, and social and networking events. A job offer may be possible at the end of the internship. Interns are eligible for paid company holidays and may qualify for a relocation or housing stipend. Interns are responsible for arranging their own housing and travel to and from the office location.

Requirements

Currently pursuing a bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
Proficiency in at least one modern programming language, such as C, C++, Python, Java, or JavaScript.
A solid foundation in data structures, algorithms, and software design principles.
Experience writing, testing, and debugging code through coursework, personal projects, or prior internships.
Familiarity with version control such as Git and collaborative development workflows.
Strong analytical and problem-solving skills, including the ability to break down ambiguous requirements into working code.
Effective written and verbal communication skills and the ability to work collaboratively in a team environment.

Nice To Haves

Exposure to mobile or web application frameworks and full-stack development.
Hands-on experience with embedded systems, microcontrollers, real-time operating systems, or assembly-level debugging.
Coursework or projects involving machine learning, statistics, probability theory, or deep-learning frameworks such as PyTorch or TensorFlow.
Experience with cloud platforms, databases, networking, or distributed systems.
Familiarity with Agile/Scrum development methodologies.
Prior internship, research, or club/competition experience in robotics, autonomy, or aerospace applications.
Interest in or exposure to the defense, aerospace, or autonomous-systems industry.

Responsibilities

Analyze software requirements and turn them into working code.
Write, test, and debug production-quality software.
Deliver a real feature or capability using Agile development practices.
Work alongside full-time engineers on applications, embedded systems, machine learning, or systems-development projects.