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GNC Engineer III

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: True Anomaly, Inc.
Full Time position
Listed on 2026-10-15
Job specializations:
  • Engineering
    Aerospace / Aviation / Avionics, Systems Engineer, Robotics
Salary/Wage Range or Industry Benchmark: 145000 - 210000 USD Yearly USD 145000.00 210000.00 YEAR
Job Description & How to Apply Below

Space is a war fighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.

OUR MISSION

True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.

OUR VALUES

Be the offset. We create asymmetric advantages with creativity and ingenuity.

What would it take? We challenge assumptions to deliver ambitious results.

It’s the people. Our team is our competitive advantage and we are better together.

BENEFITS & PERKS *

Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options

Generous time off:
Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays;
Parental Leave;
Sick Leave

Fuel for your day:
Daily catered lunch and unlimited snacks for in-office employees

And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays

Equity participation:
Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success.

* Do not apply to fixed term and temporary roles

RESPONSIBILITIES

Own all aspects of Guidance, Navigation, and Control (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 (AOD/AOE) algorithms, including sensor fusion and filtering frameworks (e.g., EKF, UKF, batch least-squares).

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.

QUALIFICATIONS

Bachelor’s degree in aerospace engineering, mechanical engineering, physics, or related field

5 - 7 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

I nternship 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…

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