Applied AI Engineer

Engineer for AI-native Core Tools and Agents

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

Apply to chat with the founders about the details!