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# Founding GNC Engineer

- **Company:** ORBITAL ROBOTICS CORP.
- **Location:** Seattle, WA, United States
- **Salary:** $120,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), 3D Scanning, Artificial Intelligence, Artificial Neural Networks, Computer Vision, C++ (Programming Language), Software Debugging, Python (Programming Language), Kinematics, Microsoft Dynamics, Motion Planning, Object Detection, Tensorflow, State Estimation, Software Engineering, Reinforcement Learning, Pytorch, Deep Learning, Orbital Mechanics, Information Technology, DO-178B, Pose Estimation
- **Published:** October 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3d732236e9d6d385

## About the Role

* Due to ITAR regulations, must be a U.S. person (citizen, permanent resident, or designated asylee/refugee).
 * Bachelor's Degree (or higher) in: Aerospace Engineering, Computer Science, Physics, Robotics, or a related engineering discipline.
 * Software development experience in C, C++ and Python, * Space Heritage: You have written code or built hardware that has flown and operated in space.
 * Orbital Mechanics: You have a deep understanding of Orbit Determination and Control, and Rendezvous and Proximity Operations (RPO).
 * Safety-Critical Software: Experience developing software under rigorous standards such as DO-178C or NPR-7150.2

Robotics and Control

 * Robotic Manipulation: Experience leveraging robotic arm kinematics, dynamics, and motion planning to manipulate objects with robotic arms.
 * Advanced Control Methods: Practical implementation model predictive control and force-based control strategies including impedance and admittance control.
 * Optimization: Proficiency with sequential convex programming, Levenberg-Marquardt, Gauss-Newton, Newton-Raphson, and Gradient Descent algorithms.

Autonomy, AI, and State Estimation

 * Estimation and Mapping: Experience deploying state estimation (EKF, UKF), visual odometry, simultaneous localization and mapping, structure from motion and 3D reconstruction algorithms on hardware systems.
 * Computer Vision: Experience deploying and verifying video object detection, segmentation, and pose estimation algorithms on hardware systems.
 * Deep Learning: Hands-on experience with Deep Reinforcement Learning using PyTorch or alternatives (e.g. Tensorflow) and a proven track record of deploying neural networks to real-world, edge-compute systems.
 * AI System Verification: Experience verifying AI controlled hardware systems such as robots or autonomous vehicles.

## Description

* Architect, implement, test, and deploy GNC and robotic control algorithms from whiteboard concepts to production flight software.
 * Build high-fidelity simulations that accurately model vehicle and robot dynamics, sensor noise, and environmental perturbations.
 * Train, optimize, and deploy control systems and neural networks for real-world systems for trajectory execution and computer vision tasks.
 * Integrate and debug GNC and AI algorithms in simulation and on hardware.