Shield AI
Summer 2027 - Software Engineer Intern
Employment
InternshipFrom the employer
Intern
Level
InternshipTeam
Software / Campus RecruitingCountry assessment
Not doable from Austria because the employer's own board marks it as not remote.
Our assessment is guidance. Confirm arrangements with the employer.
Skills mentioned in this posting
Job description
About the Role
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Applications: Build a new feature or internal tool (web, mobile, or desktop) that streamlines a mission-planning or fleet-management workflow.
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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.
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Machine Learning: Train, evaluate, and integrate a perception or decision-making model (e.g., object detection, sensor fusion) into an autonomy pipeline.
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Systems Development: Extend a platform tool, API, or data pipeline that supports autonomy software, simulation, or cloud infrastructure.
Example Intern Projects
Required Qualifications
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Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
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Proficiency in at least one modern programming language (e.g., C, C++, Python, Java, or JavaScript)
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Solid foundation in data structures, algorithms, and software design principles
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Experience writing, testing, and debugging code, whether through coursework, personal projects, or prior internships
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Familiarity with version control (e.g., Git) and collaborative development workflows
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Strong analytical and problem-solving skills, with the ability to break down ambiguous requirements into working code
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Effective written and verbal communication skills and the ability to work collaboratively in a team environment
Preferred Qualifications
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Exposure to mobile or web application frameworks and full-stack development
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Hands-on experience with embedded systems, microcontrollers, real-time operating systems, or assembly-level debugging
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Coursework or projects involving machine learning, statistics, probability theory, or deep learning frameworks (e.g., PyTorch, TensorFlow)
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Experience with cloud platforms, databases, networking, or distributed systems
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Familiarity with Agile/Scrum development methodologies
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Prior internship, research, or club/competition experience in robotics, autonomy, or aerospace applications
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Interest in or exposure to the defense, aerospace, or autonomous systems industry