Senior GNC Engineer

Inversion•Los Angeles, CA

1d•Onsite

About The Position

Inversion builds advanced reentry systems to deliver next-generation capabilities from space. Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain. We see space not as a destination, but as a platform — one that unlocks unprecedented speed and global reach. Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds. Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U.S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space-based defense and logistics.

Requirements

Bachelor’s degree in Aerospace Engineering, a related field, or equivalent experience.
Typically 5+ years of applicable experience developing and testing GNC algorithms and systems.
Strong fundamental understanding of controls and estimation algorithms including Kalman filtering, sensor fusion, and state estimation.
Solid grasp of classical mechanics, dynamics, and rigid body motion.
Proficiency in programming languages such as MATLAB, Python, or C++ for simulation and analysis.
Demonstrated excellent verbal and written communication skills.
Capable of working in a dynamic, fast-paced startup environment.
Must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Nice To Haves

Master’s degree in Aerospace Engineering, a related field, or equivalent experience.
Experience with guidance and trajectory planning algorithms.
Experience with system identification and parameter estimation for complex dynamical systems.
Experience building code deployed to real hardware in a compute-restricted environment.
Practical experience developing GNC for airborne vehicles.
Hardware in the Loop (HITL) test experience.

Responsibilities

Develop novel algorithms for the final landing stages of flight.
Build the modeling and simulation needed to quickly iterate on those algorithms.
Rapidly flight test algorithms to achieve the required performance.
Define vehicle architecture and creatively solve new design challenges.
Work on all aspects of the Guidance, Navigation, and Control that powers the world’s first reentry vehicle designed for turning space into a transportation layer for Earth.
Be a key member of the Accurate Landing team.