GNC Engineer, Navigation and Orbit Determination (Starlink)

SpaceX is hiring exceptional candidates with a background in navigation/orbit-determination or atmospheric sciences to develop the most advanced models to estimate the state of the atmosphere in real time and improve orbit predictions. This role focuses on developing a real-time data-assimilation pipeline to calibrate atmospheric density models, implementing and maintaining an operational density model, formulating and deploying navigation algorithms, and working closely with the Starlink collision-avoidance team to improve space safety.

Responsibilities include:

• Developing a real-time data-assimilation pipeline for atmospheric density model calibration
• Implementing and maintaining an operational density model for improved prediction accuracy
• Formulating, implementing, and operating navigation algorithms for satellites
• Collaborating with the Starlink collision-avoidance team

Basic Qualifications:

• Master's degree in aerospace, mechanical, or electrical engineering, or physics
• Software development experience in C++ or Python
• 2+ years of professional experience with navigation or orbit determination

Preferred Skills:

• PhD in aerospace engineering with relevant applications
• Strong understanding of orbital mechanics and numerical propagation techniques
• Experience with Kalman filters, atmospheric density models, and space-weather input drivers
• Data-assimilation system development for atmospheric density model calibration
• Experience with GNSS receivers or other radio-navigation signals
• Familiarity with covariance analysis and uncertainty quantification
• Ability to work in a fast-paced, autonomously driven environment

This role offers an unparalleled opportunity to work with data from the largest satellite constellation ever flown while directly contributing to safe and sustainable operations in low Earth orbit. Successful candidates will see their work transition from formulation to implementation on thousands of satellites in a short period.