Silimate, Inc.
Founding ML Engineer
Silimate, Inc., San Francisco, California, United States, 94199
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 (we sponsor SemiAnalysis subscriptions for team members!). 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
Be part of planning 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 benefits
Commuter stipend
Paid work lunches/dinners
Paid subscription to semiconductor newsletters (ex. SemiAnalysis, etc)
#J-18808-Ljbffr
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 (we sponsor SemiAnalysis subscriptions for team members!). 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
Be part of planning 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 benefits
Commuter stipend
Paid work lunches/dinners
Paid subscription to semiconductor newsletters (ex. SemiAnalysis, etc)
#J-18808-Ljbffr