About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Job
We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows.
This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows.
Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic.
Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions.
Previous AI experience is not required.
Key Responsibilities
Requirements
Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids.
Pathway 2: 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.
Build and validate aerodynamic and CFD analyses by translating engineering requirements into computational models, running simulations, and writing Python tools to automate workflows and assess results.
Apply fluid mechanics, aerodynamics, and Python programming to build, run, automate, and validate CFD workflows, interpreting simulation results and diagnosing numerical or physical issues.
Train and evaluate AI agents on expert-level fluid simulation by preparing CAD-based CFD models, running simulations, creating verified reference solutions, and checking agent results with Python.
Train and evaluate AI agents on expert-level CFD tasks by preparing CAD-based simulations, creating verified reference solutions, and writing Python checks to assess agent results.
Train and evaluate AI agents on expert-level fluid simulation tasks by preparing CAD geometry, running CFD simulations, creating verified reference solutions, and checking agent results with Python.
