Mechanical Engineering Expert

Mechanical Engineering Expert [$80 - $130/hour]

Role Responsibilities

• Solve and validate mechanical-engineering problems involving design, analysis, simulation, testing, or R&D
• Translate physical systems and engineering requirements into analytical or computational models
• Create or modify geometry, meshes, materials, loads, contacts, constraints, and solver inputs
• Perform structural, thermal, dynamic, fatigue, buckling, vibration, or related analyses
• Use Python to automate model preparation, simulation, parameter sweeps, optimization, postprocessing, and verification
• Analyze stress, strain, displacement, temperature, heat flow, deformation, frequency response, safety factors, and other relevant outputs
• Compare simulation results with hand calculations, experimental data, reference cases, or expected physical behavior
• Diagnose invalid geometry, mesh problems, convergence failures, incorrect boundary conditions, and unrealistic outputs
• Review AI-generated engineering solutions and identify reasoning errors, incorrect assumptions, and violated physical constraints
• Develop clear, reproducible reference solutions and objective validation checks
• Iteratively improve designs for performance, mass, strength, stiffness, thermal behavior, reliability, or manufacturability

Good Candidature

• An MS or PhD in Mechanical Engineering or a closely related engineering discipline
• A BS in Mechanical Engineering plus at least 1 2 years of relevant professional experience in mechanical design, analysis, simulation, testing, or R&D
• Strong understanding of applied mechanics and mechanical-engineering fundamentals
• Experience developing analytical, computational, or simulation-based engineering solutions
• Practical proficiency with Python
• Experience with at least one mechanical-engineering, geometry, meshing, or simulation tool that can be operated through a CLI, scripting interface, configuration files, or programmatic API
• Ability to select and justify loads, boundary conditions, material properties, physical assumptions, and model fidelity
• Ability to troubleshoot simulations and determine whether results are physically reasonable.
• Ability to explain engineering decisions, limitations, and trade-offs clearly
• Relevant tools may include CalculiX, Gmsh, Elmer, FEniCSx, CadQuery, OpenSCAD, OpenFOAM, or similar programmatic engineering software. Experience with an equivalent CLI-accessible tool is acceptable
• Relevant Python tools may include NumPy, SciPy, SymPy, pandas, Matplotlib, Jupyter, CAD or meshing APIs, finite-element libraries, optimization packages, or domain-specific scientific tools