Starship Dynamics Engineer

Spacex; Northern (KY); Presencial; USD 90.000 - 150.000; Jornada completa

Descripción de la vacante

SpaceX in the United States is seeking a Dynamics Engineer for the Starship program. The role focuses on induced environments, system and vehicle dynamics, and ensuring hardware qualification for ground testing and flight.

You will develop models, run analyses in Python and MATLAB, perform dynamic testing end-to-end, and work with multiple engineering teams to implement hardware changes. Candidates should have a bachelor\u2019s in engineering and hands-on experience with dynamics, data analysis,

Formación

• Bachelor’s degree in engineering or related field.
• 1+ year of experience in structural or fluid dynamics.
• Experience with data analysis or hardware testing.
• Knowledge of vibration and modal testing is a plus.
• Proficiency in Python and MATLAB for data processing.

Responsabilidades

• Resolve dynamics problems through analysis, testing and flight data.
• Build finite element and lumped-element models of launch vehicle systems.
• Execute dynamic testing from planning to data analysis and model correlation.
• Own system-level analyses and drive hardware modifications.
• Develop and adapt codes for analysis using in-house tools.

Conocimientos

Structural dynamics

Fluid dynamics

Data processing

Python

MATLAB

Frequency-based analysis

ODE solving

Vibration testing

Educación

Bachelor’s degree in engineering

Herramientas

MATLAB

Python

Finite element modeling (FEM)

ANSYS

Descripción del empleo

SpaceX in the United States is seeking a Dynamics Engineer for the Starship program. The role focuses on induced environments, system and vehicle dynamics, and ensuring hardware qualification for ground testing and flight.

You will develop models, run analyses in Python and MATLAB, perform dynamic testing end-to-end, and work with multiple engineering teams to implement hardware changes. Candidates should have a bachelor\u2019s in engineering and hands-on experience with dynamics, data analysis,