Member of Technical Staff, AI Compute & Data Infrastructure
About Vinci
Every physical thing you touch exists because somebody successfully navigated the laws of physics: the chips in your phone, the vehicles on the road, the data centers powering AI. Physics determines what can be built, how well it performs, and where it breaks. Yet the tools engineers use to understand physical behavior are too slow and too specialized to use continuously while designing, so critical decisions get made with only a partial view of how a system will behave.
Our mission is to make physical reasoning as accessible to engineers as language became through modern AI. This is not an attempt to build slightly better engineering software. It is an attempt to change how physical products are designed. Our technology is used today by many of the world's most advanced semiconductor and electronics organizations, including nearly half of the twenty largest companies in the industry. We are backed by Khosla Ventures and Eclipse Ventures.
The role
Training a foundation model for physics means holding petabytes of simulation data and keeping GPU clusters saturated with it. We are hiring the engineer who will own that layer: the storage where our training data lives, and the compute the AI team trains and validates models on.
This is a founding role for the discipline, with a wide surface and a small
