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
Silimate
