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THE MISSION 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 We are scaling deployment at industrial magnitude: - 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. SOLVING ACROSS SPACE AND TIME Our proven unified model architecture allows users to rapidly obtain steady state solutions of various partial differential equations. We are expanding this capability to support new physics, new geometries. Beyond that we are building out transient solutions, modeling interactions, deformation and dynamics. A core challenge as we scale out support is designing simple and clean interfaces that turn portions of the codebase into a clean library, ensuring they are correct and accurately reflect the underlying physics being modeled. These are promising applications where Vinci’s approach can not only reduce the compute load but also achieve greater accuracy. WHAT YOU WILL DO Your north star will be production and delivering value to our customers while establishing and maintaining the technical integrity of our codebase. In this role you will define and implement high-quality, reusable software libraries for our core simulation engine. You will drive code quality, testability, and architectural standards across the team, ensuring our production system scales gracefully and remains maintainable. This includes designing interfaces that are easy to access and correctly reflect the physics they are modeling. You will take ownership of critical system components, mentor junior engineers, and guide the team in transforming research prototypes into hardened, customer-facing features. You will work with Physicists, AI researchers, Software Engineers and Computational Geometry experts. You will collaborate closely with this team to enforce software engineering best practices throughout the full development lifecycle, from ideation to deployment. WHAT WE’RE LOOKING FOR Qualifications: - 8+ years of experience in high-quality software development, with significant experience designing and building production-grade systems. - Prior experience with scientific computing or physics simulators (FEM, FEA, Molecular Dynamics, FDTD), or large-scale machine learning systems. - STEM MSc, PhD preferred but not required. - Demonstrated ability to lead technical initiatives focused on code health, modularity, and system correctness. - Expertise in building robust, tested, and maintainable software libraries and APIs. - Strong proficiency in modern software development practices, including system design, agentic coding, testing frameworks, and continuous integration/delivery (CI/CD). - Have contributed to a production data processing system. We are very excited to talk with you if you have - Experience building and maintaining core ML, data infrastructure, or numerical computing software (e.g., PyTorch, Numpy, Cuda, distributed systems). - Experience going from early stage prototype moving to a production environment - At a Startup or National Lab - Have leveraged simulation for design or data generation purposes. ENGINEERING EXPECTATIONS - Architectural Leadership: Define and uphold rigorous software design standards to ensure the code base remains clean, modular, and scalable in a production environment. - Code Health and Testability: Drive strong CI, co