GNC Engineer
Katalyst Space Technologies
| Company | Katalyst Space Technologies |
| Category | Engineering |
| Location | Broomfield |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 24 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Katalyst Description:
We build robotic spacecraft that enable dynamic space operations, creating a future where maneuvering, upgrading, refueling, and exploration are as routine as they are on Earth. Getting to space and overcoming the gravity well is only half the story. What you do there is the future. We are not building the trains. We are building the machines that lay down the tracks. By developing the foundational capabilities that make sustained, responsive operations possible, we enable a new era of space activity that strengthens national security and ensures freedom of action in an increasingly contested domain.
Katalyst Culture:
Working at Katalyst is intense, hands-on, and deeply rewarding. You’ll take real ownership and see your work move from concept to operations in an environment where the problems are hard and the impact is real. We value humility, craftsmanship, and doing things the right way, even when it’s harder. You’ll work closely with thoughtful, driven teammates who push each other to do their best.
Key Responsibilities:
Architecture and Investigation
Architect solutions necessary to accomplish space mission objectives around space domain awareness and RPOD with an emphasis on autonomy, from both a hardware and software perspective.
Evaluate and select appropriate techniques to achieve mission such as machine learning methods, physics-informed solutions, stochastic methods, Kalman Filters, etc.
Assist in proposal capture efforts with feasibility analysis and engage with private/public partners, Department of Defense, Other Government Agencies, and other commercial partnerships.
Architecture Design
Develop architecture, lead trade studies and lead GNC team from conceptualization to flight for RPOD missions
Design algorithms, simulations, and tools for orbit determination, state estimation, uncertainty propagation to support SDA efforts
Analyze and source datasets for training and validation or algorithm performance.
Build and test modeling and simulation tools for orbital/cislunar dynamics, sensor modeling, and visualization.
Six degree of freedom modeling, simulation and validation of space craft dynamics, sensors and algorithms, including for RPOD missions.
Implementation
Collaborate with the software and GNC teams to implement algorithm in flight software.
Heavily support hardware-in-the-loop testing for integrated system validation.
Design concepts of operations (CONOPS) that balance thermal, power, momentum and communications for spacecraft missions.
Provide mission operations training and support.
Qualifications:
Required:
Bachelor’s degree in a technical engineering discipline
0-3 years of experience working in guidance, navigation, and control
Software development experience in Python
Experience developing, debugging, and deploying GNC sensors, effectors and algorithms that have been used in real world applications/projects
Ability to work in a fast-paced, autonomously driven, and demanding start-up atmosphere
Proven ability to lead a project from conception to completion
Desired:
Experience with cradle-to-grave spacecraft design, testing, verification/validation and in-orbit mission operations
Expertise in either guidance, navigation or control
Experience with multi-body astrodynamics
Experience with Git, Linux and Basilisk
Software development experience in C/C++
Capable of identifying and solving complex problems with little to no supervision or direction
Excellent communication skills both written and verbal
Additional Requirements : Must be willing to work extended hours and weekends as needed.
Compensation and Benefits: Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. The anticipated salary r
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