Vinci4D.ai

Physics Applications - Software Engineer

Palo Alto HQ · Exec

Sponsorship not specifiedDetected 41 days ago

Distributed SystemsCI/CDMachine LearningPyTorchNumPyFEAManual TestingResearchLeadershipMentoring

About the role

SOLVING ACROSS SPACE AND TIME Our proven unified model architecture allows users to rapidly obtain steady state solutions of various partial differential equations.
These are promising applications where Vinci's approach can not only reduce the compute load but also achieve greater accuracy.
This includes designing interfaces that are easy to access and correctly reflect the physics they are modeling.

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.
You will collaborate closely with this team to enforce software engineering best practices throughout the full development lifecycle, from ideation to deployment.
Support global, multi-entity deployment across Tier-1 ecosystems
Define and uphold rigorous software design standards to ensure the code base remains clean, modular, and scalable in a production environment.
Drive strong CI, comprehensive regression testing, and validation discipline across all components.
Mentor scientists & engineers on best practices, performance optimization, and system design.
Vinci is building the operator intelligence infrastructure that modern hardware programs rely on daily.
We are scaling our solution to accelerate design validation from hours to seconds.
You will be empowered to "own and architect large pieces of the system" alongside a team of Physicists, AI researchers, Software Engineers, and Computational Geometry experts.

8+ years of experience in high-quality software development, with significant experience designing and building production-grade systems.
Strong proficiency in modern software development practices, including system design, agentic coding, testing frameworks, and continuous integration/delivery (CI/CD).
Experience going from early stage prototype moving to a production environment
Prior experience with scientific computing or physics simulators (FEM, FEA, Molecular Dynamics, FDTD), or large-scale machine learning systems.
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.
Have contributed to a production data processing system.
Experience building and maintaining core ML, data infrastructure, or numerical computing software (e.g., PyTorch, Numpy, Cuda, distributed systems).
At a Startup or National Lab
Have leveraged simulation for design or data generation purposes.

You will work with spectacular technical leaders like CTO Sarah Osentoski and CEO Hardik Kabaria, whose vision is to greatly accelerate physics simulations with ML while retaining solver grade accuracy.
Expand simulation capabilities to maximize utility and domain coverage

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
Your north star will be production and delivering value to our customers while establishing and maintaining the technical integrity of our codebase.
Join a rare early-stage startup that has successfully moved a foundational product from research to real-world, production environments, already serving Tier-1 semiconductor and hardware customers.
Our Mission & Impact

This listing is sourced directly from Vinci4D.ai's careers page and normalized into a canonical job model.