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
