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Mach Industries

Develops unmanned military systems and propulsion

GNC Engineer - Controls

Flight Dynamics & GNCConfirmed live in the last 24 hours
Full-timeHuntington Beach, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in aerospace engineering, mechanical engineering, electrical engineering, robotics, applied mathematics, physics, or a related technical field is required.
  • Foundational understanding of dynamics, feedback control, linear systems, differential equations, and numerical methods is required.
  • Experience applying controls or dynamics concepts through professional work, internships, co-ops, research, competition teams, or substantial academic projects is required.
  • Ability to use MATLAB/Simulink or Python for modeling, simulation, data analysis, and visualization is required.
  • Exposure to C or modern C++ and an interest in developing production-quality embedded software skills are required.
  • Ability to interpret technical requirements, check work systematically, and communicate results with supporting evidence is required.
  • Comfort working collaboratively, receiving technical feedback, and learning unfamiliar tools or concepts is required.
  • Strong ownership, curiosity, attention to detail, and commitment to reliable engineering work are required.

Responsibilities

  • Support the design, analysis, tuning, and verification of flight-control functions such as stability augmentation, attitude and rate control, trajectory tracking, gain scheduling, control allocation, and mode logic.
  • Translate defined vehicle objectives into analysis tasks, performance metrics, simulation cases, and verification evidence with guidance from senior engineers.
  • Evaluate command tracking, disturbance rejection, stability, robustness, saturation behavior, and transient performance across representative operating conditions.
  • Account for aerodynamic variation, mass-property changes, actuator limits, sensor effects, latency, environmental disturbances, and other real-world constraints in analysis and simulation.
  • Document methods, assumptions, results, limitations, and recommendations in a clear and reproducible form.
  • Develop and maintain vehicle, plant, actuator, sensor, and environmental models used for controls development.
  • Use linear and nonlinear analysis techniques to understand vehicle dynamics and control-system behavior.
  • Build and run six-degree-of-freedom simulations, Monte Carlo analyses, parameter sweeps, sensitivity studies, and targeted off-nominal cases.
  • Create requirements-based tests and automated regression checks with clear expected behavior and pass/fail criteria.
  • Compare simulation predictions with component, ground, and flight-test data; investigate discrepancies and update models with review.
  • Maintain traceability between input data, model versions, gain sets, software versions, test cases, and reported results.
  • Implement, test, and review controls algorithms in MATLAB/Simulink, Python, C, or modern C++ as appropriate.
  • Support translation of analysis algorithms into embedded, real-time software while accounting for numerical precision, discretization, timing, initialization, mode transitions, and saturation handling.
  • Develop unit tests, test vectors, data-replay workflows, and software-in-the-loop or hardware-in-the-loop scenarios.
  • Work with Guidance, Navigation, Avionics, Embedded Software, Aerodynamics, Mechanical Engineering, Propulsion, and Test to define interfaces and resolve integration issues.
  • Support actuator characterization and evaluate how authority, bandwidth, rate limits, position limits, latency, and failures affect closed-loop performance.
  • Support ground and flight-test planning by defining objectives, maneuvers, instrumentation needs, expected behavior, and success criteria.
  • Analyze test data, compare measured behavior with predictions, and help investigate anomalies or performance shortfalls.
  • Break assigned work into clear tasks, identify required inputs and dependencies, and communicate progress or blockers early.
  • Ask for review when decisions exceed available evidence or experience, then incorporate feedback into the work.
  • Contribute to design reviews, technical documentation, shared tools, coding standards, and team learning.
  • Take increasing end-to-end ownership of controls tasks as capability and judgment grow.

Desired Qualifications

  • A master's degree in aerospace engineering, mechanical engineering, electrical engineering, controls, robotics, or a related field is preferred.
  • Experience with aircraft, rockets, missiles, spacecraft, UAVs, robotics, or other dynamic systems is preferred.
  • Experience with classical and modern control design, frequency-domain analysis, state-space methods, gain scheduling, or control allocation is preferred.
  • Experience developing or using six-degree-of-freedom simulations is preferred.
  • Experience with hardware testing, embedded systems, real-time software, or flight-test data is preferred.
  • Familiarity with Git, code review, automated testing, continuous integration, issue tracking, or configuration management is preferred.
  • Experience with PX4, simulation frameworks, or student flight-vehicle programs is preferred.

About the Company

Mach Industries

Develops unmanned military systems and propulsion

Mach Industries designs and builds unmanned military systems, including VTOL drones, long-range strike weapons, and counter-UAS, along with propulsion and energetics. Its products combine flight hardware, power plants, and munitions into compact, military-ready systems, with most components produced in-house to lower costs. The company differentiates itself through vertical integration, a large California manufacturing footprint, and acquisitions (like Exquadrum) to expand solid-rocket-motor capability and reduce bottlenecks. Its goal is to scale manufacturing and accelerate programs to meet defense contracts and national security needs, supported by large funding rounds to grow production and operations.

Company size
201-500
Company stage
Series C
Total funding
$1.1B
Headquarters
Huntington Beach, CA
Founded
2022

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