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Member of Technical Staff - Thermal Simulation Engineer

Vinci · Palo Alto HQ · Remote

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About Vinci

Run full-resolution simulations in minutes. Vinci’s foundation model for physics unites AI acceleration with verified solvers for as-built accuracy. Backed by Khosla.

About the role

Validate new solvers and methods: build test cases that stress steady-state and transient conduction, convection, and thermoelastic stress and warpage, and benchmark them against competitor FEA tools and measured data. Help set the accuracy bar for release, and say so when it isn't met.

What they're looking for

  • BS or higher in mechanical engineering, electrical engineering, aerospace engineering, or a comparably rigorous technical field
  • 3+ years in thermal or simulation engineering, graduate research counts
  • Hands-on thermal or thermo-mechanical CFD/FEA in Ansys Icepak, Flotherm, Fluent, Ansys Mechanical, COMSOL, or equivalent, including a working sense of where each tool's results degrade
  • Ability to reason from first principles: when a result looks wrong, to determine whether the cause is the physics, the boundary conditions, the geometry, or the software
  • CAD fluency: opening, navigating, interrogating, and repairing real geometry in mechanical CAD, ECAD, or package layout
  • Strong communication skills, including the ability to explain a result and its limits to a principal thermal engineer and to a VP in the same meeting, and to build the plots and slides yourself
More about this role

We are building an AI assistant for hardware design. Our product helps engineers explore, analyze, and optimize hardware systems, integrating cutting-edge AI with the realities of engineering design workflows.

Hands-on technical role spanning validation, training data, and customers. Vinci's physics foundation model produces solver-accurate thermal results on full-resolution hardware — real geometry, nanometer-scale features, no simplification — across conduction, convection, and thermoelasticity. You'll prove that case by case: validating new solvers and methods against competitor FEA tools and measured data, generating the reference cases that train the model, running customer test cases end to end, and bringing what you learn back to research and product as feature definition. The ideal candidate has a strong thermal simulation foundation, reasons from first principles, and is comfortable presenting a result to a customer's thermal engineers who will not take your word for it.

Validate new solvers and methods: build test cases that stress steady-state and transient conduction, convection, and thermoelastic stress and warpage, and benchmark them against competitor FEA tools and...

Read the full posting on Vinci's site ↗

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