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Technical Staff Member - Foundation Model Architecture & AI Infrastructure

vinci4dPalo Alto HQ
Hybrid Full-time

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Experience Level

Experience

Qualifications

QualificationsWe are looking for candidates with a strong background in AI architecture and systems engineering, who are passionate about driving innovation in the field of foundation models. A Bachelor’s degree in Computer Science, Engineering, or a related field is preferred. Relevant experience in AI, machine learning, or data analysis is a plus.

About the job

Technical Staff Member - Foundation Model Architecture & AI Infrastructure

Join Vinci, a leading innovator in operator intelligence infrastructure for cutting-edge hardware programs. We have successfully demonstrated that a single foundation model can seamlessly operate across various industries on complex production workloads.

  • Leveraged over 45TB of structured physics data for training.
  • Facilitated billion-voxel inference in live production settings.
  • Implemented within Tier-1 semiconductor and hardware environments.
  • Adapted to operate across diverse physical scales and operator regimes.

This is not just a research prototype; it is a robust production infrastructure. We are now on a mission to scale our deployment to industrial levels:

  • Enhancing simulation throughput by two orders of magnitude.
  • Transitioning from billion-voxel to trillion-voxel domains.
  • Broadening operator coverage to nonlinear regimes.
  • Enabling global, multi-entity deployments within Tier-1 ecosystems.

Our goal is not merely to become a frontier AI lab but to establish the default operator intelligence layer that hardware companies depend on.

The Operator Frontier

Our unified model currently addresses a subset of partial differential equations within real industrial environments. The next step involves extending this unified architecture across operator systems, including:

  • Maxwell’s equations
  • Elasticity
  • Plasticity
  • Navier–Stokes
  • Nonlinear constitutive systems
  • Coupled multiphysics interactions

We aim to evolve a single operator foundation model that generalizes across industries, physical scales, and conditioning regimes, all while scaling in deployment volume.

Key Responsibilities

This position focuses on AI architecture and systems engineering rather than low-level GPU kernel development. You will play a crucial role in defining and enhancing the core operator intelligence layer.

About vinci4d

Vinci4D is dedicated to building advanced operator intelligence infrastructures that power modern hardware applications. Our work is focused on creating scalable solutions that deliver unprecedented performance and efficiency across various industries.

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