Remote CFD & Aerodynamics Engineer (15 hrs/wk)

YO AI Labs; North Carolina; Remote; USD 110,000 - 179,000; Part time

Job summary

micro1 is seeking an Aerodynamics Expert contractor to support an AI training project involving CFD and Python-based simulations. The role offers remote, global collaboration with ~15 hours per week and pay between $80 and $130 per hour.

Responsibilities include developing CFD workflows, validating results, and reviewing AI-generated engineering solutions for accuracy. Strong Python and CFD tool experience are required to perform modeling, validation, and troubleshooting effectively.

Qualifications

• MS/PhD in Aerospace/Mechanical Engineering or BS + 1–2 years aerodynamics experience.
• Strong aerodynamics and CFD knowledge with practical Python experience.
• Experience with CLI/programmatic tools such as OpenFOAM, SU2, Gmsh, FEniCSx, SciPy, or equivalent.

Responsibilities

• Solve and validate aerodynamic and fluid-dynamics problems.
• Develop computational models, geometries, meshes, and solver configurations.
• Run and automate CFD workflows using Python and CLI-based tools.
• Analyze lift, drag, pressure, velocity, and other simulation results.
• Diagnose mesh, convergence, stability, turbulence, and boundary-condition issues.
• Perform validation, sanity checks, and mesh-independence studies.
• Review AI-generated engineering solutions for technical accuracy.

Skills

Aerodynamics

Fluid Mechanics & CFD

Python

Computational Modeling & Simulation

Mesh & Solver Configuration

Numerical Validation & Troubleshooting

Technical Problem-Solving

Education

MS/PhD in Aerospace/Mechanical Engineering

BS + 1–2 years of aerodynamics experience

Tools

OpenFOAM

SU2

Gmsh

FEniCSx

SciPy

Job description

micro1 is seeking an Aerodynamics Expert contractor to support an AI training project involving CFD and Python-based simulations. The role offers remote, global collaboration with ~15 hours per week and pay between $80 and $130 per hour.

Responsibilities include developing CFD workflows, validating results, and reviewing AI-generated engineering solutions for accuracy. Strong Python and CFD tool experience are required to perform modeling, validation, and troubleshooting effectively.