- Salary
- $140k – $220k/yr
- Location
- San Francisco, California, US · Mountain View, California, US
- Type
- Full-time
- Department
- Engineering
- Source
- Y Combinator
Description
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!
Skills
PythonAWSPyTorch
