Software Engineer Intern

About the Role

Shield AI's Software Development Engineer Intern program focuses on engineers who design, build, and test the code that powers their autonomous systems. Over 10–12 weeks, interns will 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 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.

Key Responsibilities

• Analyze requirements.
• Write and debug production-quality code.
• Ship a real feature or capability using Agile development practices.

Requirements & Tech Stack

• 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 (through coursework, personal projects, or prior internships).
• Familiarity with version control (e.g., Git) and collaborative development workflows.
• Strong analytical and problem-solving skills.
• Effective written and verbal communication skills.
• 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.

Shield AI offers competitive pay and a housing stipend. Interns are responsible for finding their own housing and travel.