We are looking for a highly skilled Mechanical Engineering Expert to contribute to an AI training project involving engineering design, physical modeling, simulation, technical problem-solving, and Python. The work involves creating, solving, reviewing, and validating engineering tasks across structural, thermal, mechanical, and multiphysics domains. A representative task may require translating physical requirements into a computational model, generating the required geometry or mesh, applying materials and boundary conditions, running an engineering simulation, and determining whether the resulting artifact and analysis satisfy the applicable physical and design constraints. This role requires strong mechanical-engineering judgment and experience using engineering tools through code, scripts, configuration files, or a command-line interface. Experience limited exclusively to graphical interfaces will not be sufficient. What You’ll Work On 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. Required Qualifications An MS or PhD in Mechanical Engineering or a closely related engineering discipline; or 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. No single library is mandatory. Process Apply to the role and complete the screening questions. Complete an AI interview of approximately 30 minutes. Complete a technical assessment, if required. Complete the hiring manager review. Compensation Structure Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

About Quickhyre AI

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