Staff GNC Engineer (State Estimation)

Inversion; California; Presencial; USD 161.000 - 221.000; Jornada completa

Descripción de la vacante

Inversion is building advanced reentry systems to deliver next-generation capabilities from space. Our mission is to turn Low-Earth Orbit into an on-demand logistics platform, enabling fast global reach and rapid testing.

As Staff GNC Engineer (State Estimation), you will develop state estimation and prediction methods, integrating them into real-time flight software and collaborating with guidance and sensors teams.

Formación

• Bachelor's degree in relevant engineering field or equivalent experience.
• 9+ years of experience in estimation, tracking, or GNC.
• Experience with trajectory/prediction for autonomous systems.
• Proficient with PyTorch or JAX and scalable model training.
• Ability to estimate state from noisy/intermittent data.
• Experience training neural nets for prediction/tracking.
• Strong communication and startup adaptability.

Responsabilidades

• Develop state estimation and tracking algorithms for aerospace systems external to the vehicle.
• Model and predict the behavior of external systems with uncertain intent.
• Train, validate, and deploy neural networks for trajectory and behavior prediction.
• Develop probabilistic representations of external-object state for planning use.
• Create metrics and datasets to quantify estimation and prediction errors.
• Integrate estimation/prediction into 3-DOF/6-DOF simulation and real-time software.
• Collaborate with guidance, sensors, and simulation teams to improve performance.

Conocimientos

State estimation & tracking

Trajectory prediction

Neural networks (training/deployment)

Programming in Python / MATLAB / C++

Estimation theory basics

Strong communication skills

On-site work readiness

Educación

Bachelor's degree in Aerospace/EE/Robotics

Master's or PhD preferred

Herramientas

PyTorch

JAX

Simulation tools

Embedded compute environments

Descripción del empleo

Turning Space into a Transportation Layer for Earth

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-demandlogisticsdomain. 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,operatingthrough extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, andoperatingat hypersonic speeds.

Inherentlydual-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 ofwhat'spossible in space-based defense andlogistics.

WhoWe Are:

Inversion builds advanced reentry systems to deliver next-generation capabilities from space.

What You'll Do:

Inversion's vehicles do not fly through an empty sky. As the Staff GNC Engineer (State Estimation), you will give our vehiclesan accurate, continuously updated picture of the world around them — estimating and predicting the state and behavior of friendly and non-cooperative systems external to the vehicle. This problem shares DNA with the prediction stacks that let autonomous carsanticipatethe paths of surrounding vehicles and pedestrians, and you will draw on both classical estimation theory and modern learned methods to solve it in a far more demanding flight regime. In this role, you will:

• Develop state estimation and tracking algorithms for aerospace systems external to the vehicle, spanning cooperative platforms and non-cooperative objectsobservedonly through onboard sensor measurements
• Model and predict the behavior of external systems, including maneuvering objects with uncertain intent
• Train,validate, and deploy neural network models for trajectory and behavior prediction, and integrate them alongside classical filtering approaches
• Develop probabilistic representations of external-object state and intent that downstream guidance and planning functions can consume
• Build the metrics, tooling, and datasets needed to quantify estimation and prediction error and drive systematic improvement
• Integrate estimation and prediction algorithms into 3-DOF and 6-DOF simulation and carry them through real-time flight software
• Work closely with the guidance, sensors, and simulation teams to close vehicle-level performance

Required Qualifications:

• Bachelor's degree in Aerospace Engineering, Electrical Engineering, Robotics, a related field, or equivalent experience
• Typically, 9+ years of applicable experience developing and testing estimation, tracking, or GNC algorithms and systems
• Experience with behavior or trajectory prediction for autonomous vehicles, robotics, or similar multi-agent domains, including probabilistic prediction of agent intent
• Experience with modern deep learning frameworks (e.g.,PyTorch, JAX) and the infrastructure to train models at scale
• Experience estimating and tracking the state of dynamic objects from noisy, intermittent, or limited sensor data
• Experience training and implementing neural networks for prediction, tracking, or related applications
• Solid grasp of classical mechanics, dynamics, and rigid body motion
• Proficiencyin programming languages such as Python, MATLAB, or C++ for simulation and analysis
• Demonstrated excellent verbal and written communication skills
• Capable of working in a dynamic, fast-paced startup environment
• This position is on-site at Inversion HQ in Playa Vista, CA.
• Must have the ability to obtain andmaintaina U.S. government Secret/Top Secret security clearance.

Desired Qualifications:

• Master's or PhD in Aerospace Engineering, Electrical Engineering, Robotics, a related field, or equivalent experience
• Experience with vehicle performance estimation and characterization from flight or test data
• Strong fundamental understanding of estimation theory, including Kalman filtering and its nonlinear variants, multi-hypothesis and interacting multiple model (IMM) approaches, and sensor fusion
• Experience deploying learned models to real-time, compute-restricted embedded environments
• Experience with trajectory optimization
• Experience with multi-target tracking, data association, and track management
• Familiarity with the flight dynamics of reentry, hypersonic, or orbital systems
• Experience developing 3-DOF and 6-DOF flight simulations
• Prior experience working in startups and/or small independent teams

Our office headquartersis located inPlaya Vista, CA. This position requires in-office presence.

The California annual base salary for this role is currently $161,000-$221,000. Pay Grades are determined by role, level, location, and alignment with market data. Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity.

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you 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. Learn more about the ITARhere .

Inversion provides equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, gender identity, sexual orientation, national origin, veteran status, or disability.

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