Vinci
Engineering
PhysicsApplications-SoftwareEngineer(Principal)
Neural analysis suggests this role is
optimal for Principal candidates.
“Physics Applications - Software Engineer (Principal) at Vinci. Skills: Software development, System design, Production systems, Machine learning. Define software libraries. Implement software libraries”
What You'll Achieve.
Deliver value to customers; Increase simulation throughput; Expand simulation capabilities; Support global deployment; Reduce compute load; Achieve greater accuracy; Scale production system gracefully
Industry & Context.
Architectural problems; System correctness
What They're Looking For.
Must Have
8+ years software development, Designing production-grade systems, Building production-grade systems, Scientific computing experience, Physics simulators experience, Large-scale ML systems experience, Lead technical initiatives, Building software libraries, Building APIs, Modern software development practices, System design, Agentic coding, Testing frameworks, Continuous integration/delivery, Contributed to production data processing system
Nice to Have
STEM MSc, PhD, Building ML infrastructure, Building data infrastructure, Building numerical computing software, Early stage prototype to production, Startup experience, National Lab experience, Leveraged simulation for design, Leveraged simulation for data generation
What You'll Do.
Define software libraries
Implement software libraries
Maintain architectural standards
Ensure production system scales
Take ownership of components
Mentor junior engineers
Enforce software engineering best practices
Define software design standards
Uphold software design standards
Ensure codebase remains clean
Ensure codebase remains modular
Ensure codebase remains scalable
Drive comprehensive regression testing
Drive validation discipline
Solve architectural problems
Take ownership of infrastructure evolution
Expand unified model architecture
Expand capabilities into transient domain
How You'll Work.
Team & Collaboration
Cross-functional teams; Physicists; AI researchers; Software Engineers; Computational Geometry experts
Full Job Description
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 ac
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