Applied AI Engineer

Job DescriptionWe’re looking for an engineer with significant AI/ML + LLM experience to build AI-native core tools and agents for frontend chip design workflows. Who you are: You are excited about transforming the way chips are built by the semiconductor 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 enterprises 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!LocationMountain ViewCAUS / San FranciscoUSSalary$140K - $220KExperience1+ Years