- Robot type
- Drone · Defense
- Location
- Huntington BeachCaliforniaUSA
- Job type
- Software
- Posted
- Sep 10, 2026
- Salary
- $130,000–$135,000 a year
May 2027 New Graduate Engineer, GNC & Modeling and Simulation
Job description
Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security.
Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies.
Job responsibilities
- Develop and test guidance, navigation, and control algorithms for autonomous aircraft and missile systems.
- Build simulations and models to evaluate vehicle dynamics and system performance.
- Support the development of flight-control laws, guidance algorithms, navigation filters, and state-estimation methods.
- Analyze flight and test data to evaluate performance and identify opportunities for improvement.
- Support software-in-the-loop, hardware-in-the-loop, ground, and flight testing.
- Integrate GNC algorithms with flight software, sensors, actuators, avionics, and propulsion systems.
- Perform Monte Carlo simulations and sensitivity analyses across different operating conditions.
- Document algorithms, simulation results, test procedures, and technical findings.
Job requirements
- Bachelor’s, master’s, or doctoral degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a related field.
- Graduating by summer 2027
- Coursework or project experience in dynamics, controls, estimation, navigation, robotics, or flight mechanics.
- Experience with MATLAB, Simulink, Python, C++, or a similar technical programming language.
- Strong understanding of linear algebra, differential equations, and control-system fundamentals.
- Experience gained through internships, research, academic projects, or student engineering teams
- Experience with flight-control design, trajectory optimization, sensor fusion, or state estimation.
- Familiarity with Kalman filters, PID control, optimal control, or nonlinear control methods.
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