Experts sectoriels : Spécialiste en physique (Modélisation et simulation)

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. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview:

We build environments used to benchmark AI models on real desktop engineering, scientific, and professional software. We need a Computational Physicist and Physical Simulation Specialist to build the templates for this domain.

A template is the reusable foundation for one application: what the application can do, and the realistic material a task is built from. Once a template exists, many tasks are generated from it.

Applications

• Gaussian · OpenFOAM · SU2 · Elmer FEM · WRF (primary simulation tools).
• Mapped workflow coverage: ADMS 6, SeisComP, ObsPy, SAC, Pyrocko, NCL, GrADS, CDO, NCO, Panoply, Stellarium, SAOImage DS9, TOPCAT.
  

Key Responsibilities:

• Application capability mapping. Work through an application's real capabilities (supported input types, the operations that matter, what it exports) and record them in a structured form the rest of the team builds on.
• Environment base assets. Produce the material a task runs on: Gaussian input/log files, OpenFOAM case dictionaries (controlDict, fvSchemes), WRF namelist.input decks, FITS astronomical image files, SAC seismic trace files, and NetCDF climate datasets. Realistic enough that a working practitioner would recognise it, and internally consistent, since the details have to agree with each other.
• Reference solutions. Complete tasks in your domain on record, so there is proof the work is humanly achievable and a reference for what correct looks like.
• You are not writing scoring code. You define what correct means; engineers implement the checks.

Key Requirements:

• Candidates must have a minimum of 5+ years of experience working as Physicist (Modelling & Simulation)
• Professional domain expertise in computational physics, thermofluids, seismology, or atmospheric modeling: you have run real physics simulations, not only operated software
• Hands-on experience with at least one: Gaussian, OpenFOAM, SU2, Elmer FEM, or WRF (mandatory)
• Strong understanding of differential equations, boundary conditions, wave propagation, and solver convergence tolerances
• Ability to explain why a physical boundary condition or simulation field result is correct, not only that it is
• Clear written English

Preferred Qualifications:

• Experience with ObsPy, SeisComP, SAOImage DS9, or NetCDF data tools (CDO/NCO)
• Python automation for simulation input-deck generation and post-processing

Benefits

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

Offer Details:

• Commitments Required: 40 hours per week with at least 4 hours PST overlap
• Employment type: Contractor assignment (no medical/paid leave)
• Duration of contract: 5 weeks; imediate onboarding