
Aerodynamics & CFD Software Engineering Specialist β MSc/PhD
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in India.
β’ Address and validate intricate problems related to aerodynamics and fluid dynamics.
β’ Convert engineering requirements into computational models and prepare solver-ready cases.
β’ Design or adjust geometries, computational domains, and mesh configurations.
β’ Set initial conditions, boundary conditions, fluid properties, and solver parameters.
β’ Implement CFD and aerodynamic analysis workflows utilizing command-line accessible tools.
β’ Develop Python scripts to streamline preprocessing, simulation execution, parameter sweeps, post-processing, and validation tasks.
β’ Create scripts and computational workflows for conducting engineering analyses.
β’ Compute and analyze lift, drag, pressure distributions, and flow characteristics.
β’ Assess mesh quality, numerical convergence, solver stability, and the physical accuracy of simulation outcomes.
β’ Troubleshoot non-convergence issues, unstable solutions, incorrect findings, and physically unrealistic outputs.
β’ Choose and rationalize modeling assumptions, mesh strategies, boundary conditions, and solver configurations.
β’ Record technical methodologies, engineering decisions, and simulation findings.
β’ Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a focus on aerodynamics, fluid dynamics, or thermofluids.
β’ Bachelor's degree in Aerospace Engineering or Mechanical Engineering along with a minimum of 1β2 years of relevant professional or research experience in aerodynamics.
β’ In-depth knowledge of fluid mechanics and applied aerodynamics.
β’ Hands-on experience in formulating and conducting CFD or aerodynamic analyses.
β’ Strong practical skills in Python, including the ability to write and troubleshoot code independently.
β’ Experience utilizing Python for scientific computation, engineering automation, or computational analysis.
β’ 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.
β’ Capability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings.
β’ Proficiency in diagnosing numerical convergence issues, unstable solutions, and physically invalid results.
β’ Strong quantitative, analytical, and problem-solving abilities.
β’ Ability to clearly communicate technical reasoning and engineering trade-offs.
β’ Professional proficiency in English at a C1 level or higher.
β’ Flexible working schedule; choose your working days and hours, including weekends.
β’ Option for remote work.
β’ Compensation based on output, with payment per task that fulfills project specifications.
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