Aerodynamics & CFD Software Engineering Specialist, MSc/PhD

This is a fully remote position, open to applicants in United States, +4 more countries.

📋 Description

• Address and validate intricate aerodynamic and fluid dynamics challenges

• Convert physical engineering requirements into computational models and cases ready for solvers

• Generate or adjust geometries, computational domains, and meshes

• Establish initial conditions, boundary conditions, fluid properties, and solver configurations

• Implement CFD and aerodynamic analysis workflows utilizing command-line-accessible tools

• Develop Python scripts to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation

• Create scripts and computational workflows for engineering analysis tasks

• Compute and analyze lift, drag, pressure distributions, and flow characteristics

• Assess mesh quality, numerical convergence, solver stability, and the physical validity of simulation outcomes

• Identify non-convergence, unstable solutions, incorrect results, and physically invalid outputs

• Choose and rationalize modeling assumptions, mesh strategies, boundary conditions, and solver configurations

• Document technical methodologies, engineering decisions, and simulation findings

• Participate in a specialized AI training initiative focused on aerodynamic analysis, engineering simulations, and Python-driven computational workflows

⛳️ Requirements

• Master's or PhD in Aerospace Engineering, or a Mechanical Engineering degree with a focus on aerodynamics, fluid dynamics, or thermofluids

• Bachelor's degree in Aerospace Engineering or Mechanical Engineering, along with at least 1–2 years of pertinent aerodynamics-related professional or research experience

• In-depth understanding of fluid mechanics and applied aerodynamics

• Hands-on experience in formulating and executing CFD or aerodynamic analyses

• High level of practical proficiency in Python, including the capability to independently write and debug code

• Experience using Python for scientific computing, engineering automation, or computational analysis

• Familiarity with at least one engineering tool or library that can be accessed via 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

• Capability to diagnose numerical convergence issues, unstable solutions, and physically invalid results

• Strong quantitative, analytical, and problem-solving abilities

• Proficiency in communicating technical reasoning and engineering trade-offs effectively

• Professional English proficiency at C1 level or higher

🏝️ Benefits

• Flexible working schedule; choose your working days and hours, including weekends

• Approximately 15 hours of work per week

• Output-based compensation, with payment per task that meets project specifications