Silimate
Founding Engineer For Co-Pilot For Chip Designers
We're looking for a passionate founding engineer that has significant AI/ML + LLM experience to build the co-pilot for chip designers with us. Who You Are:
You're excited about transforming the way chips are built by the entire industry, and enabling new levels of dynamism and speed for the hardware compute ecosystem. You'll leverage your AI/ML + LLM expertise to develop key co-pilot features that make building chips much faster, easier, and more intuitive. You'll also work directly with our world-class customers building advanced chips and IP to iterate on our product with user feedback. We ship product updates on a weekly basis, work in-person together in the Bay Area, and geek out about semiconductor news/technology advances. If this sounds like you, please apply to join the team! What You'll Do:
Develop AI models/infrastructure that ship to 10+ chip/IP customers Make architectural decisions for key product features Translate user feedback into product updates/features Plan core product roadmap and strategy with the founders Minimum Requirements:
Highly skilled with Python, C++, PyTorch/torch Good 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
We're looking for a passionate founding engineer that has significant AI/ML + LLM experience to build the co-pilot for chip designers with us. Who You Are:
You're excited about transforming the way chips are built by the entire industry, and enabling new levels of dynamism and speed for the hardware compute ecosystem. You'll leverage your AI/ML + LLM expertise to develop key co-pilot features that make building chips much faster, easier, and more intuitive. You'll also work directly with our world-class customers building advanced chips and IP to iterate on our product with user feedback. We ship product updates on a weekly basis, work in-person together in the Bay Area, and geek out about semiconductor news/technology advances. If this sounds like you, please apply to join the team! What You'll Do:
Develop AI models/infrastructure that ship to 10+ chip/IP customers Make architectural decisions for key product features Translate user feedback into product updates/features Plan core product roadmap and strategy with the founders Minimum Requirements:
Highly skilled with Python, C++, PyTorch/torch Good 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