ML Engineer

Overview We’re looking for a key engineer with significant AI/ML + LLM experience to build AI-native core tools and models for agent-driven chip design workflows. Who You Are You are excited about transforming the way chips are built by the entire chip industry. You are resourceful, a self-starter, and care intensely about the quality of your work. You want to work at a scrappy startup that sets and meets aggressive goals. You want to own/drive core product and write/ship code every day. You want to work with our customers/users and translate their feedback into company/product direction. If this sounds like you, please apply to join the team! What You’ll Do Develop AI models, core tools, and infrastructure that ship to Fortune 500s and chip unicorns Make architectural decisions for key product features Translate user feedback into product updates/features Plan core product roadmap and strategy Minimum Requirements Highly skilled with Python, C++, PyTorch/torch Strong understanding of traditional ML models, LLMs, foundation models, and agents Experience building ML pipelines Experience fine-tuning and benchmarking LLMs/foundation models Excited about applying AI/ML techniques to chip design Good at shipping high-quality code quickly Resilient, data-driven, and works from first principles Ideal Requirements Have shipped product using LLMs, foundation models, and/or agentic workflows Experience with AWS SageMaker Nice-to-have Requirements Experience with AI/ML-driven chip EDA software tooling (either open-source or commercial tools) Experience with designing chips (either open-source or commercial designs) Benefits Generous salary and equity package Full health/vision/dental/401k benefits Team meals Apply to chat with the founders about the details! #J-18808-Ljbffr