Mclaurin Aerospace · 22 hours ago
Flight Software Research Intern- AI Powered Agentic Design
Mclaurin Aerospace is focused on advanced aerospace research and development, and they are seeking a Flight Software & AI Research Intern. This role involves supporting AI-driven modeling and simulation efforts within the Guidance, Navigation, and Controls team, providing a hands-on learning opportunity for graduate students in Computer Science.
AerospaceIndustrialTest and Measurement
Responsibilities
Contribute to the design, development, and testing of AI-enabled modeling and simulation software architectures
Support ongoing development of 6-DOF launch vehicle and spacecraft modeling and simulation software
Prototype system architectures for agentic decision-making assistants
Participate in software verification and validation activities, including unit testing and security demonstration
Create and maintain technical documentation for software architecture, algorithms, interfaces, and test procedures
Collaborate in code reviews, debugging efforts, and flight readiness or system validation activities
Work closely with GN&C engineers and researchers in a fast-paced R&D environment
Qualification
Required
This role is intended for true Computer Science majors; other engineering disciplines will be considered only if the candidate demonstrates strong CS depth
Strong programming experience in C/C++ and/or Python
Solid foundation in software engineering principles, algorithms, and data structures
Familiarity with Linux-based development environments
Excellent analytical, problem-solving, and debugging skills
Ability to work independently while collaborating effectively with a technical team
Student positions require a minimum commitment of 20 hours per pay period
This position is open to US citizen students residing in HUBZone qualified areas only
Preferred
Currently pursuing a Master's degree (preferred) or PhD in Computer Science
Experience or coursework related to one or more of the following is highly desirable: Artificial intelligence or machine learning, Using LLMs for decision making applications, Software containerization