The company is building an AI assistant for hardware designers, with a mission to help hardware designers and engineers iterate through designs much faster using geometry- and physics-driven foundation models. The role will help improve the company’s MVP by developing the pipelines and tools that support the product, accelerate development from coding through deployment, and orchestrate data flows throughout the deployed product. The engineer will develop product features to improve scalability and APIs for complex engineering workflows, integrate LLM or VLM infrastructure, and establish an MLOps framework for training deep learning architectures on geometry and physics data. The role also contributes to product strategy and roadmap planning with early customers and design partners, and builds and ships critical product features. The position offers opportunities to learn about product building and entrepreneurship.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed