Run full-resolution simulations in minutes. Vinci’s foundation model for physics unites AI acceleration with verified solvers for as-built accuracy. Backed by Khosla.
About the role
Your north star will be production and delivering value to our customers. Design, build, and operate the backend services and infrastructure that power Vinci’s simulation and inference platform.
What they're looking for
- 8+ years of professional software engineering experience, with a strong focus on backend and infrastructure
- Infrastructure & cloud: hands-on Terraform experience and production work on at least one major cloud (GCP, AWS, Azure, or similar)
- CI/CD: built and maintained pipelines with Jenkins or an equivalent CI system
- Build systems: comfortable with build tooling such as CMake and Python packaging via pip/uv
- Languages: proficient in Python, with working familiarity in C++
- Scale: comfortable navigating and contributing to large, multi-language codebases
More about this role
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.
Trained on petabytes of structured physics data
Running billion-voxel inference in production
Tier-1 semiconductor and hardware customers
Operating across multiple physical scales and operator regimes
Increase simulation throughput by two orders of magnitude
Expand simulation capabilities to maximize utility and domain coverage
Support global, multi-entity deployment across Tier-1 ecosystems
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.
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...
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