Materials & Semiconductor Physics Technical Lead at Turing

Materials & Semiconductor Physics Technical Lead | Remote | Pay not specified

Turing, an AGI infrastructure company working with frontier AI labs, is hiring a Materials Science or Semiconductor Physics Expert for a frontier AI data initiative. You will be assigned to one of two tracks: connectors or tasks.

What the work involves

You will 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.

• Support technical discovery sessions with client 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 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.

Who it's for

• 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 and written communication skills for technical and business workshops.

Pay, schedule and location

• Competitive compensation.
• Flexible working hours and remote work environment.

Application process

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