Mechanical Engineering Expert - Remote
YO AI Labs
- Remote job
Job Description
Job Description
Mechanical Engineering Expert
Role Type: Contractor
Location: Global, Fully Remote
Schedule: ~15 hours/week, flexible
We're seeking a Mechanical Engineering Expert to support an AI training project involving engineering design, physical modeling, simulation, technical problem-solving, and Python. You'll solve, validate, and review structural, thermal, mechanical, and multiphysics engineering tasks. No prior AI experience is required.
Key Responsibilities- Solve and validate mechanical engineering problems involving design, analysis, simulation, and testing.
- Translate engineering requirements into analytical and computational models.
- Create and modify geometry, meshes, materials, loads, constraints, and solver inputs.
- Perform structural, thermal, dynamic, fatigue, buckling, and vibration analyses.
- Use Python to automate simulations, parameter sweeps, optimization, and post-processing.
- Analyze stress, strain, displacement, temperature, deformation, frequency response, and safety factors.
- Diagnose geometry, mesh, convergence, boundary-condition, and modeling issues.
- Compare simulation results with calculations, experiments, and expected physical behavior.
- Review AI-generated engineering solutions and develop reproducible reference solutions.
- Mechanical Engineering & Applied Mechanics
- Engineering Design & Analysis
- Structural & Thermal Analysis
- Computational Modeling & Simulation
- Python
- CAD, Meshing & Simulation
- Numerical Validation & Troubleshooting
- Technical Problem-Solving
Experience with CalculiX, Gmsh, Elmer, FEniCSx, CadQuery, OpenSCAD, OpenFOAM , or equivalent CLI/programmatic engineering tools. Python tools such as NumPy, SciPy, SymPy, pandas, Matplotlib, and Jupyter are beneficial.
Qualifications- MS/PhD in Mechanical Engineering or related discipline, or BS in Mechanical Engineering with 1–2+ years of relevant professional experience.
- Strong mechanical-engineering fundamentals and simulation experience.
- Practical Python and programmatic engineering-tool experience.
- Ability to select and justify materials, loads, boundary conditions, assumptions, and model fidelity.
- Ability to validate results and clearly explain engineering decisions and trade-offs.
Application ~30-minute AI interview Technical assessment (if required) Hiring manager review.
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