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

Turing; United States; Remote; USD 172,000 - 220,000; Part time

Job summary

Turing, based in San Francisco, seeks an experienced Mechanical Design & Analysis Expert with automotive or aerospace pedigree to design datasets for AI training and evaluation. You will convert real-world mechanical challenges into structured test scenarios, define scoring criteria, and diagnose AI model performance across CAD/CAE workflows.

Requires 15+ years of industry experience, proficiency in 3D CAD and CAE tools, and strong English communication.

Qualifications

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

Responsibilities

• Convert real-world mechanical challenges into structured test scenarios with inputs, requirements, constraints, and verified solutions.
• Design scoring rubrics and validation rules for automated task verification by software engineers.
• Assess AI agents to diagnose failure modes in mechanical workflows.
• Design and manage QA/QC workflows to ensure dataset quality.
• Recruit and coordinate teams of engineers to build training and evaluation datasets.

Skills

System Design

Mechanical CAD

DFM/DFA

GD&T

FMEA

Team leadership

English communication

Education

Bachelor’s or Master’s in Mechanical/Aerospace/Automotive Engineering

Tools

SolidWorks

CATIA

Siemens NX

ANSYS

HyperWorks

Abaqus

Job description

Convert engineering challenges into structured test scenarios for AI training.

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

Skills: System Design