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Vinci4d
Palo Alto, California, United States
Source: Vinci4d careers · View original posting
From Vinci4d's posting. “We” and “our” refer to the employer.
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 physics on realistic production workloads.
Our ambition is to become the default operator intelligence layer that hardware companies run on. To get there, we need the backend and infrastructure that lets our research move to production reliably, repeatably, and at scale.
Building the Backbone
Our unified model architecture delivers steady-state and transient solutions to partial differential equations at production scale. None of that reaches a customer without robust infrastructure underneath it: reproducible builds, automated pipelines, well-provisioned cloud, and code that holds up under load. This role owns that backbone. You will make our systems fast, dependable, and easy for physicists, researchers, and engineers to build on.
This is a unique opportunity for technical and professional growth. You will help define a foundational abstraction layer early in the company’s trajectory. The team is small, friendly, and accessible, and you will be empowered to own and architect large pieces of the system alongside Physicists, AI researchers, Software Engineers, and Computational Geometry experts, including greenfield opportunities to expand Vinci’s core capabilities.
Leadership
You will work with spectacular technical leaders like CTO Sarah Osentoski and CEO Hardik Kabaria, whose vision is to greatly accelerate physics simulations with ML while retaining solver-grade accuracy.
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