Member of Technical Staff - Foundation Model Architecture & AI Infrastructure
MEMBER OF TECHNICAL STAFF - FOUNDATION MODEL ARCHITECTURE & AI INFRASTRUCTURE
Vinci | Full-Time | Remote / Hybrid
THE MISSION
At Vinci, we are building the operator intelligence infrastructure that modern hardware programs rely on daily. We have already proven that a single foundation model works out of the box across industries on realistic production workloads.
- Trained on 45TB+ of structured physics data
- Running billion-voxel inference in production
- Deployed inside Tier-1 semiconductor and hardware environments
- Operating across multiple physical scales and operator regimes
This is not a research prototype. This is production infrastructure. Now we are scaling deployment at industrial magnitude:
- Increase simulation throughput by two orders of magnitude
- Move from billion-voxel to trillion-voxel domains
- Expand operator coverage across nonlinear regimes
- Support global, multi-entity deployment across Tier-1 ecosystems
Our ambition is not to become a frontier AI lab. Our ambition is to become the default operator intelligence layer that hardware companies run on.
THE OPERATOR FRONTIER
Today, our unified model already operates across a subset of partial differential equations in real industrial environments. The next phase is expanding that unified architecture across operators, including:
- Maxwell’s equations
- Elasticity
- Plasticity
- Navier–Stokes
- Nonlinear constitutive systems
- Coupled multiphysics interactions
We are not building separate models per equation. We are evolving a single operator foundation model that generalizes across industries, physical scales, and conditioning regimes - and scales in deployment volume.
WHAT YOU WILL OWN
This role is about AI architecture and systems engineering - not low-level GPU kernel work. You will help define and scale the core operator intelligence layer.
Evolve the Foundation Architecture
- Design and refine transformer variants for structured spatial ...