Member of Technical Staff - Software Engineer

Vinci; Palo Alto (CA); On-site; 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

About Us

• We're building an AI assistant for hardware designers. Our mission is to enable millions of hardware designers and engineers to iterate through designs 1000x faster.

• We are building our geometry + physics driven foundation model for each class of part design.

• We are looking for people who love to build new products to help us improve our MVP.

Your Responsibilities

You’ll be a force multiplier for our team and will design and develop the pipelines and tools that make our product a product. This includes accelerating our development by developing the system that enables our code to go from development to deployment. You’ll also orchestrate how data flows throughout the deployed product. Specific tasks include:

• Develop key features to improve our product including: making it more scalable, developing improving APIs to enable more complex engineering workflows

• Set up and integrate LLM or VLM infrastructure

• Set up an MLOps framework for training deep learning architectures for geometry and physics data

• Assist in the strategy, planning the product roadmap, and prioritize the development in partnership with early customers and design partners

• Build and ship critical product features

• Learn a lot while building products that engineers will love. Also learn about entrepreneurship!

Qualifications

• 6+ years of experience developing and shipping features in the space of high performance computing.

• Proficiency in C++, Python, or any other language necessary for setting up a system. Tools like grpc, protocol buffers, Docker, Kubernetes, Bazel (or your favorite language agnostic build system)

• Proficiency in using cloud compute be it for data generation, scraping, and enabling data science teams to train models with MLOps is a plus

• CUDA experience would be amazing but not required

• Frontend experience is a plus

• Startup experience is a strong advantage.

You’re a great fit for this role if you

• Are excited about entrepreneurship, taking things from 0 to 1,

• Have a continuous learning mindset.

• Are interested in building a geometry and physics based model for a vast variety of design problems (e.g. heat dissipation system for chips to landing gears)!

• Thrive when you have autonomy and ownership over your work