Backend Infrastructure Engineer

📋 Job Overview

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. We are scaling deployment at industrial magnitude and 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.

🏢 About Vinci

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 backbone. You will make our systems fast, dependable, and easy for physicists, researchers, and engineers to build on.

🎯 The Role

Your north star will be production and delivering value to our customers. You will design, build, and operate the backend services and infrastructure that power Vinci’s simulation and inference platform.

✅ Key Responsibilities

• Own infrastructure-as-code with Terraform across our cloud environments, provisioning and managing services reliably and repeatably.
• Build and harden CI/CD pipelines (Jenkins or equivalent) so the team can ship with confidence and strong regression coverage.
• Maintain and evolve our build systems (CMake, pip/uv) across large Python and C++ codebases.
• Take early prototypes through iteration and hardening all the way to customer use, in modest iterative steps.
• “Close the gap” on pre-existing infrastructure where needed, and evolve core platform components as the product grows.
• Partner closely with Physicists, AI researchers, Software Engineers, and Computational Geometry experts to turn research into dependable systems.

📌 Required Qualifications

• 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.
• Have contributed to a production data processing or platform system.

⭐ Desirable Experience

• Experience taking an early-stage prototype to a production environment, at a startup or national lab.
• Exposure to frontend development.
• Familiarity with 3D rendering or visualization technologies.
• Experience supporting ML or scientific-computing workloads (PyTorch, NumPy, CUDA, GPU infrastructure).
• Experience with containers and orchestration (Docker, Kubernetes) and observability tooling.

🎁 Benefits

Salary range: $165K – $180K

🛂 Visa & Eligibility

No visa or eligibility information provided.