Software Engineering Intern (Modeling & Simulation) - Spring/Summer 2027

Hermeus•Los Angeles, CA

About The Position

Hermeus is a venture-backed defense aviation company focused on rapid iterative prototyping to build the fastest aircraft. They work with the Department of War to provide high-speed capabilities. As a Modeling & Simulation Software Engineering Intern, you will collaborate with the software team to develop performant modeling and simulation code for their 6DOF SITL simulation using Julia. You will interface with 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 validating results with real data. The internship is available for approximately 16 weeks in Spring (January - April) or 12 weeks in Summer (May - August).

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.
Enthusiasm for aviation and Hermeus' mission.
Excellent written and verbal communication skills.
GPA of 3.0 or above.

Responsibilities

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.