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Inversion Space

Low-cost cargo re-entry services for space

Staff GNC Engineer - Guidance

Flight Dynamics & GNCConfirmed live in the last 24 hours
Full-timePlaya Vista, Los Angeles, CA, USA$161k - $221k /yr

About the Job

Requirements

  • A bachelor's degree in Aerospace Engineering, a related field, or equivalent experience.
  • Typically, 9 or more years of applicable experience developing and testing guidance or guidance, navigation, and control algorithms and systems.
  • Experience with modern convex optimization methods for guidance, such as successive convexification, sequential convex programming, or lossless convexification.
  • Experience developing and exercising 3-degree-of-freedom and 6-degree-of-freedom flight simulations.
  • Strong fundamentals in flight mechanics, optimal control, and trajectory optimization.
  • Proficiency in programming languages such as MATLAB, Python, or C++ for simulation and analysis.
  • Demonstrated verbal and written communication skills.
  • Ability to work in a dynamic, fast-paced startup environment.
  • Ability to obtain and maintain a U.S. government Secret or Top Secret security clearance.

Responsibilities

  • Own the guidance architecture for a maneuvering reentry vehicle from concept through flight.
  • Develop guidance algorithms that replan trajectories onboard in response to real-time mission updates.
  • Build and exercise 3-degree-of-freedom and 6-degree-of-freedom flight simulations to develop, stress, and validate guidance performance.
  • Develop plant models of vehicle and subsystem dynamics to support algorithm design and simulation fidelity.
  • Work with the broader guidance, navigation, and control, simulation, and mission design teams to close vehicle-level performance.
  • Mentor engineers across the guidance, navigation, and control team.

Desired Qualifications

  • A master's or PhD in Aerospace Engineering, a related field, or equivalent experience.
  • Experience with real-time onboard optimization solvers, such as ECOS, CVXGEN, OSQP, or custom solvers, in compute-restricted environments.
  • Experience with atmospheric entry guidance methods, such as numerical predictor-corrector approaches.
  • Experience building plant models of aerospace systems, including aerodynamics, propulsion, actuators, and sensors.
  • Experience with state estimation using limited data, including Kalman filtering and sensor fusion.
  • Experience building guidance code deployed to real flight hardware.
  • Hardware-in-the-loop test experience.
  • Prior experience working in startups and/or small independent teams.

About the Company

Inversion Space

Low-cost cargo re-entry services for space

Inversion Space builds low-cost, high-frequency re-entry vehicles to bring cargo and resources back from space. The core idea is to provide cargo return services from low-earth orbit and beyond, working with space agencies and private companies under service contracts and partnerships. Their product works by using reusable or versatile re-entry systems to safely carry valuable materials from space back to Earth, enabling clients to shuttle resources, samples, or equipment home for analysis or use. The company differentiates itself by emphasizing affordable, high-cadence return capabilities and a service-based model rather than just selling hardware, aiming to simplify and scale the process of bringing material back from space. The overarching goal is to make returning from space as common and practical as launching to space, supporting the sustainability and growth of space operations.

Company size
51-200
Company stage
Series A
Total funding
$126.8M
Headquarters
Los Angeles, CA
Founded
2021

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