Applied AI Engineer

Silimate (YC S23); San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity (generous)

Health/vision/dental/401k benefits

Team meals

Job summary

Silimate (YC S23) in San Francisco is seeking an engineer with deep AI/ML and LLM experience to build AI-native core tools and agents for frontend chip design workflows. You will own core product areas and ship code daily, collaborating with customers to translate feedback into product direction.

You will develop AI models, tooling, and infrastructure for Fortune enterprises and chip unicorns, make architectural decisions, and roadmap core product features.

Qualifications

• Strong Python and C++ development skills.
• Deep understanding of traditional ML models, LLMs, and foundation models.
• Experience building ML pipelines.
• Experience fine-tuning and benchmarking LLMs/foundation models.
• Excited about applying AI/ML to chip design.
• Proven ability to ship high-quality code quickly.

Responsibilities

• Develop AI models, core tools, and infrastructure for enterprise customers.
• Make architectural decisions for key product features.
• Translate user feedback into product updates/features.
• Plan core product roadmap and strategy.

Skills

Python

C++

PyTorch

LLMs

ML pipelines

Foundation models

Tools

AWS SageMaker

Job 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.

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