GNC Engineer II - Spacecraft Attitude & Orbit

True Anomaly, Inc.

Panama City Beach (FL)

Vor Ort

USD 115.000 - 165.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Health, Dental, Vision benefits
Equity and Benefits

Zusammenfassung

True Anomaly is seeking a GNC Engineer to own all aspects of GNC system development, from architecture to on-orbit operations. You will design and validate flight software for spacecraft in LEO, GEO, and other regimes, including AOD/AOE algorithms and sensor fusion, while collaborating with avionics, propulsion, and mission operations teams.

The role requires strong physics understanding, C++/Python experience, and a track record in control theory, simulation, and hardware‑in‑the‑loop testing.

Qualifikationen

  • Bachelor’s degree in aerospace engineering, mechanical engineering, physics, or related field.
  • 2 - 4 years of relevant GNC Engineering experience in the aerospace and defense industry.
  • Coursework or project experience in spacecraft attitude dynamics, orbital mechanics, and control systems.
  • Strong understanding of physics, attitude dynamics, orbital mechanics, and software development principles.
  • Internship or project experience in GNC, control systems, or simulation development.
  • Experience with C++ and/or Python for algorithm development, numerical methods, or simulation.
  • Familiarity with spacecraft GNC concepts, such as sensors, actuators, state estimation, and control laws.
  • Exposure to filtering or estimation methods (e.g., Kalman filters) through internships, coursework, or projects.
  • Ability to build, test, and debug software and simulation tools.
  • Strong analytical skills and ability to work effectively in a multidisciplinary engineering environment.
  • Demonstrated ability to take ownership of tasks and learn new concepts quickly.

Aufgaben

  • Own all aspects of GNC system development, including architecture definition, algorithm design, verification, hardware integration, and on-orbit operations.
  • Design, test, and validate GNC flight software and embedded algorithms for spacecraft operating in LEO, GEO, and other orbit regimes.
  • Develop and maintain spacecraft Attitude and Orbit Determination & Estimation algorithms, including sensor fusion and filtering frameworks.
  • Conduct trade studies and provide design recommendations for GNC hardware such as reaction wheels, torque rods, thrusters, star trackers, sun sensors, IMUs, and RF/optical navigation sensors.
  • Develop GNC algorithms and implement them in flight software; verify performance and robustness through high‑fidelity simulation, Monte Carlo analysis, and hardware‑in‑the‑loop testing.
  • Design, implement, and improve high‑fidelity 6‑DOF simulation environments for SIL, HIL, and advanced mission analysis.
  • Utilize and enhance frequency‑domain and time‑domain control analysis tools to ensure stability margins, disturbance rejection, and performance in off‑nominal conditions.
  • Define system‑and‑subsystem‑level GNC requirements, interfaces, and verification plans in collaboration with systems engineering.
  • Work cross‑functionally with avionics, propulsion, software, mission operations, and systems teams to ensure seamless integration of GNC functionality.
  • Support on‑orbit commissioning, system calibration, maneuver planning, and anomaly resolution throughout mission operations.

Kenntnisse

GNC Engineering
Aerospace
C++
Python
Algorithm development

Ausbildung

Bachelor’s degree in aerospace engineering
Bachelor’s degree in mechanical engineering
Bachelor’s degree in physics

Tools

C++
Python

Jobbeschreibung

True Anomaly is seeking a GNC Engineer to own all aspects of GNC system development, from architecture to on-orbit operations. You will design and validate flight software for spacecraft in LEO, GEO, and other regimes, including AOD/AOE algorithms and sensor fusion, while collaborating with avionics, propulsion, and mission operations teams.

The role requires strong physics understanding, C++/Python experience, and a track record in control theory, simulation, and hardware‑in‑the‑loop testing.

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