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 transparent 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/D
📌 Mechanical Design (India)
🏢 Turing
📍 India
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