Mechanical Engineering Expert- Remote
YO HR Consultancy
Check Your Fit
Have a quick 6-10 minute voice conversation to see how your skills match this role. Get personalized feedback — no resume needed.
About this role
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible—you choose the hours and days you work, including weekends if desiredWe 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 is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow.
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.
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 and coding agents.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.
What you'll get after applying
Unlike traditional applications, you won't submit and wait in silence. Here's what you get immediately:
See what you did well — communication, experience, enthusiasm
Specific, actionable feedback on how to strengthen your interview skills
Personalized guides and resources to help you grow professionally
Common questions
How does Apply by Voice work?
Instead of filling out forms or uploading a resume, you have a 6-10 minute voice conversation with an AI interviewer. It asks about your experience, skills, and interest in the role — then gives you instant feedback.
What feedback do I get after applying?
You'll immediately see your strengths highlighted, specific areas for improvement, actionable tips to get better, and recommended resources to build your interview skills.
How long does the conversation take?
Most conversations take 6-10 minutes. It's a natural back-and-forth about your experience — much faster than filling out a traditional application.