Aerodynamics & CFD Software Engineering Specialist, MSc/PhD

Gramian Consulting

. Solve and validate complex aerodynamic and fluid dynamics problems .

Posted 11/10/2026contractRemote • United States, Canada, Australia, New Zealand, United KingdomJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in computational fluid dynamics (CFD) and aerodynamic analysis, with strong proficiency in Python for engineering automation and simulation workflows. Capable of translating complex engineering requirements into effective computational models while ensuring numerical stability and physical validity.

Highest-signal resume keywords

CFD AnalysisPython ProgrammingAerodynamics ExpertiseFluid Mechanics KnowledgeEngineering Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computational Fluid DynamicsAerodynamic AnalysisPython CodingMesh GenerationNumerical Convergence DiagnosisBoundary Condition DefinitionLift and Drag CalculationSolver ConfigurationTechnical DocumentationEngineering Simulation

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication Skills

Tools & Technologies

Command-Line ToolsScripting InterfacesEngineering Libraries

Industry Keywords

Aerospace EngineeringMechanical EngineeringFluid DynamicsThermofluidsAI Training Project

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Solve and validate complex aerodynamic and fluid dynamics problems
Translate physical engineering requirements into computational models and solver-ready cases
Create or modify geometries, computational domains, and meshes
Define initial conditions, boundary conditions, fluid properties, and solver settings
Execute CFD and aerodynamic analysis workflows using command-line-accessible tools
Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation
Develop scripts and computational workflows for engineering analysis
Calculate and interpret lift, drag, pressure distributions, and flow characteristics
Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results
Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs
Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations
Document technical methodologies, engineering decisions, and simulation results
Contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows

Requirements

What you’ll need

Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids
Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience
Strong understanding of fluid mechanics and applied aerodynamics
Practical experience formulating and executing CFD or aerodynamic analyses
Strong practical proficiency in Python, including the ability to write and debug code independently
Experience using Python for scientific computing, engineering automation, or computational analysis
Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API
Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings
Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results
Strong quantitative, analytical, and problem-solving skills
Ability to communicate technical reasoning and engineering trade-offs clearly
Professional English proficiency at C1 level or higher

Benefits

Comp & perks

Flexible schedule; choose your working days and hours, including weekends
Approximately 15 hours per week
Output-based compensation, with payment per task that meets project specifications