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

Wahojobs; San Francisco (CA); Hybrid; USD 165,000 - 248,000; Full time

Job summary

Turing in San Francisco seeks an experienced Mechanical Design & Analysis Expert with automotive or aerospace pedigree to design datasets for training and evaluating frontier AI models.

You will convert real-world mechanical challenges into structured test problems, define scoring and validation criteria, and oversee QA/QC workflows while coordinating distributed engineers. 15+ years in the field is required.

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 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).

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.

Skills

3D parametric CAD modeling

FEA/CFD simulation

GD&T

Project leadership

Education

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

Tools

SolidWorks

CATIA

Siemens NX

ANSYS

Altair HyperWorks

Abaqus

Job description

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.

Contract Start Date: Expected between 20 october - 23 october

Engagement: 8 weeks (with potential chances of extension)