Vinci combines a foundation model for physics with GPU-native solvers to deliver unprecedented simulation speed and accuracy. There’s no meshing, no approximations, and customer data is not required to train the model: it simply works out of the box. Vinci enables engineers to run thousands of simulations seamlessly, transforming how complex physical systems are designed and optimized.
Our teams rely on high-performance compute, secure networking, and cloud integrations to accelerate development. We’re looking for a pragmatic full-stack engineer who can span customer-facing UIs, backend services, and native C++ integrations — someone who ships features end-to-end and takes ownership of how customers consume them.
Hands-on full-stack role. You’ll build and operate Python/gRPC services that expose capabilities from C++ engines, make small–medium UI changes to customer and internal apps, and own the application work required to make features consumable by customers. The ideal candidate is comfortable working across the stack, fluent in shipping production services, and motivated to make the product easier and safer for customers to use.
Competitive salary, equity, health benefits, flexible time off, and remote-friendly policies. Final compensation depends on experience and location.
Vinci is a frontier lab building the foundation model for the physical world. The company is developing deterministic, solver-grounded systems that make physics continuously computable, shifting engineering from episodic simulation to continuous physics infrastructure. Already deployed inside production engineering workflows and running on flagship programs, Vinci operates directly on native design and manufacturing geometry to enable high-fidelity physics reasoning without the traditional burden of manual setup, meshing, and specialist-only access. Rather than functioning as a faster point tool, Vinci changes the operating model of engineering by making physics more available, more repeatable, and more actionable across the organization. Its systems support design, verification, manufacturing, and reliability decisions, helping teams evaluate more scenarios, surface physical risk earlier, and improve engineering leverage without scaling specialist simulation teams linearly. Vinci’s broader aim is to make physics a shared reasoning layer for designing, building, and operating the physical world.
