Applied AI Engineer

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.

Who you are:

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.

If this sounds like you, please apply to join the team!

What you’ll do:

- 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

Minimum requirements:

- 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 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

- Team meals

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Apply to chat with the founders about the details!

See the posting on Silimate's site