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SpaceX

Aerodynamics Engineer

7w

SpaceX

US · Full-time · $120,000 – $160,000

About this role

The Aerodynamics Engineer role focuses on predicting the aerodynamics and aerothermal environments that Starship booster and ship experience during all phases of their missions. Engineers apply engineering models, simulations, and wind-tunnel testing to deliver accurate predictions ahead of flight validation.

Day-to-day work centers on preparing, meshing, running, and post-processing CFD models while reviewing post-flight data against pre-flight estimates. The position requires writing code and scripts that integrate into largely automated workflows across multiple languages.

The team works closely with the GNC group to enable safe landing and recovery of both Starship stages and supports vehicle structures engineers during design. Aerodynamics engineers must maintain a clear understanding of flow fields from subsonic through hypersonic regimes.

Engineers operate prediction tools on Linux/Unix systems and interface directly with responsible engineers to convey physical phenomena affecting vehicle performance. The role demands self-motivation and strong documentation practices within a fast-paced development environment.

Requirements

  • Bachelor’s degree in an engineering discipline
  • Proficiency creating watertight 3D models and CFD grids on Linux/Unix systems
  • Experience post-processing data with Tecplot or ParaView
  • Familiarity with solvers such as FUN3D, Loci/CHEM, or DPLR
  • Strong background in external compressible fluid dynamics
  • Data processing and analysis experience in MATLAB or Python
  • Self-motivated with strong organizational and documentation skills

Responsibilities

  • Prepare, mesh, run, and post-process CFD models
  • Review post-flight data and compare to pre-flight estimates
  • Interface with responsible engineers to provide design inputs and explain relevant physical phenomena
  • Write code and scripts in multiple languages that share common interfaces within automated workflows
  • Apply lower-order engineering analysis tools alongside high-fidelity simulations
  • Support wind-tunnel testing and experimental validation efforts