
Vinci is building a foundation model for the physical world—bringing deterministic, solver-accurate reasoning to full-fidelity hardware at manufacturing resolution. The Vinci platform enables…

Vinci is building a foundation model for the physical world—bringing deterministic, solver-accurate reasoning to full-fidelity hardware at manufacturing resolution. The Vinci platform enables…
What they do: Generative AI for hardware and 3D geometry design
Founded: 2023
Headquarters: Menlo Park, California, United States
Founder / CEO: Hardik Kabaria
Stage / funding: Pre-Seed (investor: K5 Global)
Employees (approx.): 27
Hardware design and 3D geometry processing for design and manufacturing
2023
Technology, Information and Internet
Pre-Seed round announced Nov 17, 2023
“K5 Global participated as investor in disclosed Pre-Seed round”
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About Vinci We’re building a copilot for hardware. Software engineers have powerful AI tools. Hardware engineers still rely on workflows that take hours or days to simulate and iterate. Vinci is changing that.
Our platform combines AI, geometry processing, and physics simulation to help engineers validate designs dramatically faster than traditional tools. The system integrates foundation models with simulation engines to produce full-fidelity physical predictions in seconds instead of hours.
We’re a small team building infrastructure that connects AI models, large-scale simulation data, and production software used directly by engineers.
The Role We’re looking for a backend engineer who enjoys building systems that sit between data infrastructure and real product features.
This role spans two major areas:
Data generation systems
Product backend
You’ll work across the stack with ML engineers, physics researchers, and product engineers.
What We’re Looking For We value engineers who are comfortable moving between infrastructure, data systems, and product code, and who enjoy building pragmatic systems that ship.
Backend Engineering
Data & Pipeline Systems
Systems & Infrastructure
How We Work We’re a small team and engineers own large pieces of the system. That means:
Compensation Range: $160K - $250K
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