Design and develop the pipelines and tools that make our product a product.
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.
Requirements
6+ years of experience developing and shipping features in 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 for data generation, scraping, and enabling data science teams to train models with MLOps is a plus
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