Location: Mountain View, CA, United States / San Francisco, CA, United States
Job Type: Full-time
Salary: $140K - $220K
Equity: 0.50% - 2.00%
Experience: 1+ years
Visa: Will sponsor
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!
Summary
Build AI-native tools and agents for frontend chip design workflows, developing models and infrastructure, making architectural decisions, and planning product roadmap. Requires 1+ years experience, strong Python, C++, PyTorch, traditional ML, LLMs, foundation models, agents, and ML pipeline experience.
Responsibilities
Develop AI models, core tools, infrastructure; make architectural decisions; translate user feedback into features; plan product roadmap and strategy.
Qualifications
1+ years experience; Python, C++, PyTorch/torch; traditional ML, LLMs, foundation models, agents; ML pipelines; fine-tuning and benchmarking LLMs; shipped LLM/foundation model/agentic products (ideal); AWS SageMaker (ideal); chip EDA tooling and chip design (nice-to-have).
Experience requirements
1+ years experience
Benefits
Full health/vision/dental/401k benefits; team meals