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

Turing

India

On-site

INR 3,000,000 - 6,000,000

Full time

23 hours ago
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Job summary

Turing, based in San Francisco, seeks a Mechanical Design & Analysis Expert with 15+ years in automotive or aerospace engineering to design datasets that help our customers train and evaluate frontier AI models against real-world mechanical 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

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.

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

Problem solving
Team leadership
Analytical thinking

Education

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

Tools

SolidWorks
CATIA
Siemens NX
ANSYS
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)
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