Aerodynamics Engineer

TekPillar®

United States0–4 yrs1h agovia LinkedIn

Key Responsibilities

  • Analyze and solve aerodynamic and fluid mechanics problems using engineering principles and computational methods.
  • Develop computational models based on physical requirements and engineering specifications.
  • Create or modify aerodynamic geometries, computational domains, and simulation meshes.
  • Define appropriate boundary conditions, initial conditions, fluid properties, and solver configurations.
  • Execute CFD simulations and aerodynamic analyses using command-line-accessible or scriptable engineering tools.
  • Use Python to automate simulation workflows, preprocessing, parameter sweeps, post-processing, and result validation.
  • Calculate and interpret aerodynamic quantities, including lift, drag, pressure distribution, and flow characteristics, where applicable.
  • Troubleshoot numerical issues and evaluate the physical validity and reliability of computational results.
  • Develop repeatable workflows for simulation execution, data analysis, and engineering verification.

Qualifications & Tech Stack

  • Education: A Master's degree or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids; alternatively, a Bachelor's degree in Aerospace Engineering or Mechanical Engineering with at least 1–2 years of aerodynamics-specific professional or research experience.
  • Strong understanding of fluid mechanics, applied aerodynamics, and computational modeling.
  • Practical experience formulating and executing CFD simulations or aerodynamic analyses.
  • Proficiency in Python for scientific computing, engineering automation, or data analysis.
  • Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API.
  • Understanding of computational mesh generation, boundary conditions, solver configuration, and numerical methods.
  • Ability to investigate convergence issues, troubleshoot simulations, and assess whether results are physically meaningful.

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