Member of Technical Staff - Software Engineer
Vinci4D.ai · Palo Alto, CA · 4 mo ago
HybridEngineering$180k–$220k/yrFull-time
Responsibilities
- 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
- Auxiliary 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