Thermal And CFD Simulation Engineer

You will create and assess thermal and computational fluid dynamics models for PCB assemblies, electronic components, and enclosures. The work supports engineering simulation data generation and requires careful analysis of heat transfer, airflow, cooling, and temperature behavior.

• Analyze heat conduction, natural and forced convection, and radiation.
• Build CFD models in OpenFOAM to study airflow, cooling performance, and temperature distribution.
• Prepare geometry and generate meshes with Gmsh or similar open-source tools.
• Set thermal boundary conditions, material properties, component power losses, and other simulation inputs.
• Evaluate component and PCB temperatures, thermal hotspots, and cooling effectiveness.
• Create Python automation and post-processing workflows.
• Check mesh independence, convergence, numerical stability, and simulation accuracy.
• Compare simulation results with analytical calculations and available reference data.
• Document assumptions, limitations, results, and verification evidence.

What you need and where it fits

This is a fully remote contract role open worldwide. The project is expected to run for approximately 13 weeks, with potential for extension.

• Commitment of 20 or more hours per week.
• Fluency in English.
• Strong knowledge of heat transfer, thermodynamics, and fluid mechanics.
• Practical experience with CFD and thermal simulation.
• Experience with OpenFOAM or an equivalent CFD tool.
• Familiarity with Gmsh or another mesh-generation tool.
• Understanding of material properties, thermal boundary conditions, and heat-source modeling.
• Python scripting skills for automation and simulation post-processing.
• Ability to interpret results and assess numerical accuracy.
• A bachelor's or master's degree in mechanical, thermal, aerospace, or related engineering is helpful.
• Five or more years of experience in CFD, thermal engineering, or electronics cooling is helpful.
• Background in PCB thermal analysis, power electronics, semiconductor cooling, or electronic enclosures is helpful.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work uses human-created examples, reviews, and evaluations to help improve artificial intelligence systems. Engineering specialists contribute reliable technical analysis and reference data that can make these systems more useful for complex technical tasks.