Member of Technical Staff - Software Engineer
Vinci AI
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.
- 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!
- 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.
- 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
Vacancy posted 2 days ago
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