Summer 2027 - Software Engineer Intern
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Sep 8, 2026. Shield AI scores B on the Alion truth index.
About the Role
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.
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
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