Physics foundation model for engineering simulation on native CAD geometry
Vinci, founded in 2023 in Palo Alto, is building an AI foundation model that computes physics directly on design and manufacturing geometry. Its stack pairs CUDA, OpenCL and C++ GPU compute with a WebGPU/Three.js browser front end and Dagster, Airflow and Temporal orchestration, and it is now adopting gRPC and Protocol Buffers. Senior- and principal-heavy engineering hiring across Taiwan, South Korea and Germany points to thermal and advanced packaging work in semiconductor hubs.
Vinci is a privately held frontier AI lab headquartered in Palo Alto, California, founded in 2023 and employing 51–200 people. It develops solver-grounded models that let engineering teams run high-fidelity physics analysis without manual meshing or specialist-only workflows. Its systems support design, verification, manufacturing and reliability decisions and are already used in production engineering programs. The company hires in the United States, Taiwan, Germany, France, South Korea and Singapore, with a team weighted toward engineering alongside sales, marketing, data and research roles.
Vinci uses CUDA, OpenCL, C++ and Python for GPU compute, React, Next.js, Three.js and WebGPU for its web platform, PostgreSQL with SQLAlchemy, and Dagster, Airflow and Temporal for orchestration.
Yes. Hiring is accelerating and engineering dominates, mostly at senior and principal levels, with smaller openings in sales, marketing, data and research.
Vinci hires in the United States, Taiwan, Germany, France, South Korea and Singapore, and is headquartered in Palo Alto, California.
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Vinci's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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