[Hiring] Aerodynamics Expert @Your Software Supplier

Role Description

We are looking for a highly skilled Aerodynamics Expert to contribute to an AI training project involving computational fluid dynamics, aerodynamic analysis, engineering simulation, and Python. The work involves:

• Creating, solving, reviewing, and validating engineering tasks through programmatic, command-line-based workflows.
• Analyzing an airfoil, preparing a computational domain and mesh, defining appropriate boundary conditions, running a CFD simulation, calculating lift and drag, and determining the validity of the resulting flow field.

This is a very coding heavy role. Candidates must have experience using coding agents with Python in their workflow.

What You’ll Work On:

• Solve and validate aerodynamic and fluid-dynamics problems.
• Translate physical requirements into computational models and solver-ready cases.
• Create or modify geometries, computational domains, and meshes.
• Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings.
• Run CFD and aerodynamic-analysis workflows using command-line-accessible tools.
• Use Python to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation.

Qualifications

• An MS or PhD in Aerospace Engineering, or Mechanical Engineering with an aerodynamics, fluid dynamics, or thermofluids specialization; or a BS in Aerospace or Mechanical Engineering plus at least 1–2 years of aero-specific professional or research experience.
• Strong understanding of fluid mechanics and applied aerodynamics.
• Experience formulating and executing CFD or aerodynamic analyses.
• Practical proficiency with Python.
• Experience with at least one engineering tool or library that can be operated through a CLI, scripting interface, configuration files, or programmatic API.
• Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings.
• Ability to diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs.
• Ability to communicate technical reasoning and engineering trade-offs clearly.
• Relevant tools may include OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, SciPy, or similar programmatic engineering software. Experience with an equivalent CLI-accessible tool is acceptable.
• Relevant Python tools may include NumPy, SciPy, pandas, Matplotlib, Jupyter, solver APIs, mesh-processing libraries, or domain-specific scientific packages. No single library is mandatory.

Requirements

• Apply to the role and complete the screening questions.
• Complete an AI interview of approximately 30 minutes.
• Complete the hiring manager review.