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Mach Industries

Develops unmanned military systems and propulsion

GNC Engineer - Navigation

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, mathematics, physics, or a related technical field.
  • Foundational understanding of dynamics, linear systems, probability, statistics, estimation, coordinate frames, and numerical methods.
  • Experience applying navigation, estimation, signal-processing, or sensor-fusion concepts through professional work, internships, co-ops, research, competition teams, or substantial academic projects.
  • Ability to use MATLAB/Simulink or Python for modeling, simulation, data analysis, and visualization.
  • Exposure to C or modern C++ and an interest in developing production-quality embedded software skills.
  • Ability to interpret technical requirements, check work systematically, and communicate results with supporting evidence.
  • Comfort working collaboratively, receiving technical feedback, and learning unfamiliar tools or concepts.
  • Strong ownership, curiosity, attention to detail, and commitment to reliable engineering work.
  • To conform to U.S. Government export regulations, applicants must be a U.S. citizen or national, U.S. lawful permanent resident, refugee, asylee, or eligible to obtain required authorizations from the U.S. Department of State.

Responsibilities

  • Support the design, implementation, tuning, and verification of navigation functions such as strapdown inertial navigation, state estimation, Kalman filtering, sensor fusion, alignment, calibration, measurement handling, and fault detection.
  • Translate defined vehicle objectives into analysis tasks, navigation performance metrics, simulation cases, and verification evidence with guidance from senior engineers.
  • Develop and evaluate propagation and measurement models, coordinate-frame transformations, initialization logic, and nominal or degraded sensor behavior.
  • Analyze the effects of sensor noise, bias, drift, scale factors, misalignment, lever arms, timing errors, latency, environmental conditions, and vehicle dynamics.
  • Evaluate estimator convergence, consistency, numerical behavior, residuals, and recovery across representative trajectories and sensor conditions.
  • Document methods, assumptions, results, limitations, and recommendations in a clear and reproducible form.
  • Support the evaluation and integration of IMUs, GNSS receivers, magnetometers, barometers, air-data sensors, cameras, radar, and other aiding sources as applicable.
  • Analyze recorded sensor data to characterize noise, bias, repeatability, drift, latency, synchronization, thermal behavior, and other relevant error sources.
  • Develop sensor error models for simulation using test data and appropriate statistical methods.
  • Support stationary, dynamic, thermal, vibration, and environmental tests, including test setup, data collection, analysis, and reporting.
  • Contribute to sensor trade studies and calibration or acceptance-test activities using defined requirements and evaluation criteria.
  • Work with Avionics, Electrical Engineering, Mechanical Engineering, Embedded Software, and Test to resolve installation, timing, data-quality, and interface issues.
  • Develop and maintain navigation simulations, sensor models, trajectory cases, fault scenarios, and truth-data interfaces.
  • Build and run Monte Carlo analyses, parameter sweeps, covariance analyses, sensitivity studies, and requirements-based tests.
  • Implement, test, and review navigation 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, coordinate conventions, scheduling, timing, initialization, and computational constraints.
  • Create unit tests, test vectors, deterministic data replays, and software-in-the-loop or hardware-in-the-loop scenarios.
  • Maintain traceability between input data, model versions, sensor configurations, calibration data, software versions, test cases, and reported results.
  • Support ground and flight-test planning by defining objectives, instrumentation needs, maneuvers, expected behavior, and success criteria.
  • Analyze test data, compare measured performance with predictions, and help determine whether discrepancies come from algorithms, sensors, timing, calibration, interfaces, truth data, or vehicle dynamics.
  • 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 navigation tasks as capability and judgment grow.

Desired Qualifications

  • A master's degree in aerospace engineering, electrical engineering, controls, robotics, applied mathematics, or a related field.
  • Experience with aircraft, rockets, missiles, spacecraft, UAVs, robotics, or other autonomous systems.
  • Experience with Kalman filtering, inertial navigation, sensor fusion, stochastic processes, or navigation error analysis.
  • Experience collecting, processing, or characterizing IMU, GNSS, or other sensor data.
  • Experience with embedded systems, real-time software, hardware testing, or flight-test data.
  • Familiarity with Git, code review, automated testing, continuous integration, issue tracking, or configuration management.
  • Experience with PX4, ROS 2, simulation frameworks, or student flight-vehicle programs.

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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