Applied AI Engineer: Build LLM-Driven Chip Design Tools

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

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.