Materials & Semiconductor Physics Technical Lead

About Turing & Role

Turing is one of the world's leading AGI infrastructure companies, working with frontier AI labs to accelerate model development through high-quality training data, evaluations, and engineering talent. We are staffing a frontier AI data initiative building the infrastructure and training data used to develop and evaluate AI agents. You will be assigned to one of two tracks: connectors or tasks.

Role Overview

We are seeking an experienced Materials Science or Semiconductor Physics Expert to evaluate and benchmark advanced AI models against real-world materials discovery workflows. Working directly with client R&D teams, you will turn atomic-scale engineering challenges - spanning thin-film deposition (ALD, CVD, PVD), etch, planarization, and multiscale physics simulations (DFT, MD, kMC) - into structured test problems, define scientific grading criteria, and diagnose why frontier AI models succeed or fail.

Key Responsibilities:

• Support technical discovery sessions with client’s R&D teams to map and deconstruct the end-to-end materials discovery lifecycle into discrete sub-processes.
• Convert real materials engineering challenges into structured test scenarios with defined inputs, constraints, and verified golden reference solutions.
• Define clear scoring rubrics and programmatic validation rules (e.g., verifying stoichiometry, thermodynamics, and non-diverging simulation parameters).
• Inspect step-by-step AI reasoning traces to diagnose failure root causes.
• Scope out domain-specific data generation requirements, synthetic physics pipelines, and fine-tuning strategies to advance AI model performance.

Qualifications

• PhD or Master's degree in Materials Science, Applied Physics, Chemical Engineering, Microelectronics, or a related discipline.
• Deep technical expertise in atomic-scale materials engineering: precision thin-film deposition (ALD, CVD, PVD), plasma etch, CMP, 3D packaging, or advanced semiconductor memory/logic architectures.
• Hands-on familiarity with computational physics/chemistry modeling pipelines: Density Functional Theory (DFT), Molecular Dynamics (MD), or Kinetic Monte Carlo (kMC) simulation setups.
• Proven ability to formulate complex, open-ended scientific workflows into structured, verifiable problem statements with clear ground-truth criteria.
• Strong verbal & written communication skills required during technical and business workshops.

Benefits

• Opportunity to work on cutting-edge AI projects.
• Competitive compensation.
• Flexible working hours and remote work environment.

Application Process

• Shortlisted candidates will need to go through online interviews.
• Once the interview is cleared, candidates can start.

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Where you can work

This role is 100% remote: you can work from anywhere in the world.