Software Engineer building tools that shape how Homebase engineers ship software. Contributing to AWS infrastructure while improving internal developer experience as part of a collaborative team.
About the role
- Design and develop pipelines and tools for an AI assistant helping hardware designers. Collaborate on product strategy and build critical features for our innovative product.
Responsibilities
- 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
- CUDA experience would be amazing but not required
- Frontend experience is a plus
- Startup experience is a strong advantage.
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