Guidance, Navigation & Control Engineer I - Early Career (2026 Starts)

Application close date:

Applications will be accepted on an ongoing basis until the requisition is closed.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!  

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We are collaborators, doers, and problem-solvers who are relentlessly committed to a culture of safety. This position will directly impact the history of space exploration and will require your commitment and detailed attention towards safe and repeatable space flight. Join us in lowering the cost of access to space and enabling Blue Origin’s vision of millions of people living and working in space to benefit Earth.  

  

Multiple positions available across our Business Units. You will be matched with an appropriate engineering team based on your skillset and experience and our current business needs.    

Timeline:  Applications will be reviewed on a rolling basis.

  

Primary locations:  

We prioritize placing early career engineers in locations where they can be co-located with their team and the relevant hardware they support. The primary locations for this role are listed below. Please indicate in the application where you would be willing to be located.  

• Kent, WA

• Denver, CO

• Reston, VA

Responsibilities include but are not limited to: 

• Your projects may include guidance, navigation, controls, autonomy, avionics, simulation, mission design, trajectory optimization, system test, aero sciences, mission design, trajectory optimization, and systems engineering. 

• Design, analyze, develop and verify guidance, navigation, and control (GN&C) software for spaceflight systems.  

• Build on our existing human-rated GN&C software to improve reliability, enable capabilities, and reduce operating cost. 

• Perform system analyses, including simulations and Monte-Carlo, to satisfy specifications and requirements and to drive system-level architectural decisions. 

• Specific duties are subject to our business unit objectives.    

Qualifications: 

• Minimum of a B.S. degree in physics, aerospace engineering, computer engineering, electrical engineering, mechanical engineering or other relevant engineering field. 

• Will have earned their degree within the last year and able to start by Fall 2026. 

• Demonstrated knowledge in designing and testing control systems for aerospace vehicles or mechanical and fluidic subsystems.  

• Fundamental understanding of dynamics, orbital mechanics, estimation, and control theory.  

• Practical experience in guidance, navigation, and controls algorithm development and analysis for aerospace or mobile robotic applications.  

• Strong software and model development skills, particularly in MATLAB/Simulink, and C/C++.  

• Relevant internship/co-op and/or hands-on experience that demonstrate development of both technical skills as well as leadership qualities. 

• Ability to earn trust, maintain positive and professional relationships, and strengthen our culture of inclusion. 

• Ability to work independently and as part of a team on rapid development programs.   

• Flexible and adaptable mindset. 

• Self-driven with the ability to seek out requirements with minimal direction. 

Desired: 

• M.S. degree or PhD in physics, aerospace engineering, computer engineering, electrical engineering, mechanical engineering, or another relevant STEM field. 

• Knowledge of multi-body dynamics, flexible body dynamics, gas and fluid dynamics and thermodynamics.  

• Experience with modeling electro-mechanical, hydraulic and electrical subsystems.  

• Experience anchoring/fitting first principles models to test data or high-fidelity external simulations using system identification or other numerical methods. 

• Experience developing and verifying physical models for the purpose of control design, component sizing, and system performance evaluation. 

• Experience with Spacecraft Systems Engineering

• Experience with Monte Carlo simulat