ML Engineer

We’re looking for a key engineer with significant AI/ML + LLM experience to build AI-native core tools and models for agent-driven chip design workflows.

Who you are

You are excited about transforming the way chips are built by the entire chip 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 500s 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

• —

• Apply to chat with the founders about the details!