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Mechanical Design & Analysis Domain Lead (CAD/CAE Expert)

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STEP 2 · APPLYApply on Turing when you’re readyApply on Turing →

You apply directly on Turing's site. Applying is free. Posted Oct 15, 2026.

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STEP 1 · PRACTICE BEFORE YOUR REAL INTERVIEW

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Turing screens applicants online, often with an AI interview. micro1 offers a free, 18-minute AI practice interview with feedback, and we picked the one closest to this role: R&D Engineer. It covers:

Innovative problem-solvingPrototyping and testingData analysis and interpretation

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Allow your microphone when it asks, find a quiet spot, and give yourself about 20 minutes. We’ve also emailed you the link and the free ebook.

Step 2: when you feel ready, apply.

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STEP 2 · APPLY

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Who this role suits

Engineers and technical specialists who want remote project work that uses their design and manufacturing experience.

System Design

Full job description

About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.

Role Overview

We are seeking an experienced Mechanical Design & Analysis Expert with top-tier automotive or aerospace engineering pedigree to design datasets that will help our customers train and evaluate advanced AI models against real-world mechanical engineering workflows.

You will turn complex physical engineering challenges—spanning conceptual 3D parametric CAD, CAE simulation (FEA, CFD), DFM/DFA, and physical testing—into structured test problems, define physical grading criteria, and diagnose why frontier AI models succeed or fail.

Experience: 15+ YOE in the field

Key Responsibilities

  • Convert real-world mechanical engineering challenges into structured test scenarios with defined inputs, requirements, kinematic/geometric constraints, and verified golden reference solutions.
  • Design clear scoring rubrics & programmatic validation rules for automated task verification by software engineers (e.g., verifying stress concentrations, mesh convergence, boundary conditions, tolerance stacks, GD&T adherence).
  • Assess the behavior of state-of-the-art AI agents to diagnose & analyse failure modes.
  • Design and manage automated and human-expert-in-the-loop QA/QC workflows to ensure dataset quality.
  • Recruit and coordinate teams of internal and external engineers to build and scale training and evaluation datasets.

Required Skills/Qualifications -

  • Bachelor’s or Master’s degree in Mechanical Engineering, Aerospace Engineering, Automotive Engineering, or a closely related physical discipline.
  • 15+ years of industry track record delivering hardware from concept to production in top-tier automotive, aerospace, or advanced precision engineering environments.
  • Deep technical expertise across the end-to-end mechanical product lifecycle: 3D parametric CAD modeling, DFM/DFA, GD&T, FEA/CFD simulation, prototype testing, and failure analysis (FMEA).
  • Hands-on proficiency with industry-standard CAD and CAE tools (e.g., SolidWorks, CATIA, Siemens NX, ANSYS, Altair HyperWorks, or Abaqus).
  • Proven ability to formulate complex, open-ended mechanical workflows into structured, verifiable problem statements with clear physical ground-truth criteria.
  • Demonstrated experience leading, mentoring, or coordinating distributed teams of engineers and technical contributors.
  • Strong verbal & written English communication skills.

Project Details:

  • Contract Start Date: Expected between 20 october - 23 october
  • Engagement: 8 weeks (with potential chances of extension)
  • Commitment - 40 hours/week
  • Engagement Type: Contract

Last checked open on Oct 28, 2026. Job description provided by Turing.

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