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As a Modeling & Simulation Software Engineering Intern you will work with the software team to develop performant modeling and simulation code for our 6DOF SITL simulation using Julia. You'll Interface with the Flight Software, HMI, and Flight Sciences teams to meet stakeholder needs and ensure accurate results. Your work will involve creating hardware/physics informed software models and validate results with real data.
Job Responsibility:
Develop performant simulation code for 6 Degrees of Freedom (6DOF) Software-in-the-Loop (SITL) systems using Julia
Develop user driven features and focus on scalability of our Monte Carlo simulation
Collaborate with cross-functional teams including Flight Software, Human-Machine Interface (HMI), and Flight Sciences to align simulation outputs with stakeholder requirements
Design and implement physics-informed models that accurately represent hardware behavior and system dynamics
Validate simulation accuracy by comparing model outputs with real-world flight data and refining models accordingly
Optimize simulation performance to ensure real-time execution and scalability across different test environments
Participate in code reviews and testing cycles to maintain high software quality and reliability
Document modeling assumptions, validation results, and integration workflows for internal knowledge sharing and future development
Requirements:
Pursuing a degree in Computer Science, Aerospace Engineering, Electrical Engineering, Applied Mathematics, or a related technical field
Proficiency in Julia or strong experience with scientific computing languages such as Python, MATLAB, or C++
Understanding of 6DOF dynamics and simulation principles, especially in aerospace or robotics contexts
Familiarity with modeling physical systems, including hardware-in-the-loop or physics-informed simulation techniques
Experience with data validation and analysis, including comparing simulation outputs to real-world data
Strong understanding of engineering first principles
Demonstrated ability to work within cross-functional teams