Staff Engineer: ML Pipelines for Geometry & Physics

Vinci; Palo Alto (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Vinci in the United States is building an AI assistant for hardware designers. You’ll design and develop the pipelines and tools that turn code from development to deployment, while orchestrating data flow across the deployed product.

You’ll build scalable features, set up LLM/VLM infrastructure, and establish an MLOps framework for geometry and physics data, collaborating on the product roadmap with early customers and design partners.

Qualifications

• 6+ years shipping features in high performance computing.
• Proficiency in C++, Python, and system setup tools (gRPC, Protobuf, Docker, Kubernetes, Bazel).
• Cloud compute experience for data generation and ML data pipelines is a plus.
• CUDA experience is a plus but not required.
• Frontend experience is a plus.
• Startup experience is a strong advantage.

Responsibilities

• Develop scalable features and APIs to support engineering workflows.
• Set up and integrate LLM or VLM infrastructure.
• Set up an MLOps framework for geometry and physics data.
• Assist in strategy and roadmap with early customers.
• Build and ship critical product features.
• Learn and grow while building products engineers will love.

Skills

HPC experience

Autonomy

Entrepreneurship mindset

Tools

C++

Python

Docker

Kubernetes

gRPC

Protocol Buffers

Bazel

Job description

Vinci in the United States is building an AI assistant for hardware designers. You’ll design and develop the pipelines and tools that turn code from development to deployment, while orchestrating data flow across the deployed product.

You’ll build scalable features, set up LLM/VLM infrastructure, and establish an MLOps framework for geometry and physics data, collaborating on the product roadmap with early customers and design partners.