at Shield AI
Location
San Diego, California
Compensation
$77k–$202k USD
Type
intern
Posted
3 days ago
Market range · company + function + seniority
p25 · target · p75 · n=201
Posted $202k · below the band
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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.
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
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
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