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Role description

Member of Technical Staff - Software Engineer

Vinci4D.ai logoVinci4D.ai
AI-native
WorkplaceOn-site
SeniorityStaff / Lead
LocationPalo Alto, CA
Engineering

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

Relevant archetypes

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Company info

Vinci4D.ai logo

Vinci4D.ai

A frontier lab building the foundation model for the physical world, already deployed in flagship engineering programs.

Vinci is a frontier lab building the foundation model for the physical world. The company is developing deterministic, solver-grounded systems that make physics continuously computable, shifting engineering from episodic simulation to continuous physics infrastructure. Already deployed inside production engineering workflows and running on flagship programs, Vinci operates directly on native design and manufacturing geometry to enable high-fidelity physics reasoning without the traditional burden of manual setup, meshing, and specialist-only access. Rather than functioning as a faster point tool, Vinci changes the operating model of engineering by making physics more available, more repeatable, and more actionable across the organization. Its systems support design, verification, manufacturing, and reliability decisions, helping teams evaluate more scenarios, surface physical risk earlier, and improve engineering leverage without scaling specialist simulation teams linearly. Vinci’s br

Private companySeries BRecently raisedMega round
Founded2023
Unlock human wisdom
ThesisTermsPrivacy
HQ
Palo Alto, United States
Size51-200 employees
IndustryTechnology, Information and Internet
Funding
  • Series B · $250M · Oct 6, 2026
Investors
AdventTemasek

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