GNC HIL and Test Engineer

Xona Space SystemsBurlingame, CA
36d

About The Position

Xona is the navigational intelligence company bringing real-time, centimeter-level certainty to any device, anywhere on Earth. With Pulsar - the world's most advanced PNT satellite infrastructure in Low Earth Orbit - Xona will offer a future-proof, backwards-compatible global positioning system optimized for absolute precision, superior power, and robust protection. We're seeking a GNC HIL and Test Engineer to design, develop, and validate high-fidelity simulations and control algorithms for advanced aerospace systems. This role is ideal for an engineer with strong analytical skills and hands-on experience in guidance, navigation, and control (GNC) who thrives at the intersection of modeling, coding, and flight system development.

Requirements

  • Master's or Ph.D. in Aerospace Engineering, Control Systems, Applied Physics, or a related field
  • Experience with GNC algorithm development for LEO, GEO, or interplanetary satellite platforms
  • Strong understanding of orbital mechanics, rigid body dynamics, and estimation theory
  • Demonstrated expertise in Monte Carlo analysis, system identification, and HIL testing

Nice To Haves

  • You have deep experience with spacecraft dynamics and control, including 6DOF simulation environments
  • You've developed and tested flight control and estimation software for real space/aerial/ground missions
  • You're comfortable building estimators like Kalman filters and validating them with data
  • You're skilled in MATLAB and C++, and experienced working in version-controlled Linux-based environments
  • You have a strong understanding of system modeling, identification, and performance analysis
  • You thrive in a fast-paced, hands-on engineering environment and enjoy solving hard technical problems

Responsibilities

  • Develop and maintain 6-DOF attitude and orbit simulations, including modeling of spacecraft dynamics, environmental disturbances, and sensor/actuator behavior
  • Perform Monte Carlo analyses to evaluate system performance and robustness
  • Design and implement control algorithms (PID, LQR, optimal controllers) and state estimators (Kalman filters)
  • Conduct Monte Carlo simulations for performance validation, fault injection, and design robustness
  • Conduct system identification and model validation from flight or test data
  • Write, test, and optimize algorithms in MATLAB and C++
  • Collaborate in a Git-based, Linux development environment alongside multidisciplinary teams

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Publishing Industries

Number of Employees

51-100 employees

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