Startups · AI

Applied AI Engineer

Silimate · Mountain View, CA, US / San Francisco, CA, US · On-site

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About Silimate

Fast, efficient agents for chip design and debug. Backed by Y Combinator.

About the role

We’re looking for an engineer with significant AI/ML + LLM experience to build AI-native core tools and agents for frontend chip design workflows. You are excited about transforming the way chips are built by the semiconductor industry.

What they're looking for

  • 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
More about this role

We’re looking for an engineer with significant AI/ML + LLM experience to build AI-native core tools and agents for frontend chip design workflows.

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.

  • 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
  • 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...

Read the full posting on Silimate's site ↗

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