Summer 2027 - Software Engineer Intern

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies.

With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

Our Summer Internship program is a wonderful opportunity for Fall and Spring graduates to immerse themselves in an innovative and mission driven culture.

Our 10-week paid internship program will provide you with hands on mentorship, an opportunity to add real contribution to our company via your internship project, and a possible job offer at the end.

You will have the chance to make lifelong friendships, expand your network, and learn all about what it's like to work in a high-growth, fast scaling tech unicorn. You'll take part in company sponsored events and enjoy exploring a new city. Read on below to learn more about this unique internship!

About the Role

Shield AI's Software Development Engineer Intern program spans engineers who design, build, and test the code that powers our autonomous systems — from user-facing applications and embedded flight software to machine learning models and the underlying systems platforms that tie it all together.

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 our standard Agile development practices.

Example Intern Projects

Applications: Build a new feature or internal tool (web, mobile, or desktop) that streamlines a mission-planning or fleet-management workflow.

Firmware/Embedded: Develop and debug embedded C/C++ code for a flight controller or sensor module, including bring-up and hardware-in-the-loop testing.

Machine Learning: Train, evaluate, and integrate a perception or decision-making model (e.g., object detection, sensor fusion) into an autonomy pipeline.

Systems Development: Extend a platform tool, API, or data pipeline that supports autonomy software, simulation, or cloud infrastructure.

Required Qualifications

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 (e.g., C, C++, Python, Java, or JavaScript)

Solid foundation in data structures, algorithms, and software design principles

Experience writing, testing, and debugging code, whether through coursework, personal projects, or prior internships

Familiarity with version control (e.g., Git) and collaborative development workflows

Strong analytical and problem-solving skills, with 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

Preferred Qualifications

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 (e.g., PyTorch, 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