Silimate is the copilot for chip designers.

Chip teams today are still using the same archaic workflows from 30 years ago, resulting in lengthy 12-18 month design cycles and the inability to ship custom chips fast enough to keep up with the software pointer.

We're changing that at Silimate.

Our chip design copilot is helping chip designers create correct, PPA-optimized RTL code from the onset, and eliminate months from their tapeout schedule. Our goal is to enable autonomous spec-to-design.

We are generating significant revenue with customers that include billion-dollar public enterprises and chip unicorns, and are well-funded by top investors. We're growing fast — demand for Silimate has outpaced our ability to build and ship the product.

If you want to transform how chips are designed by the entire chip industry, join us!

We’re growing the team further! We’re looking for a Founding Engineer with significant AI/ML + LLM experience to build the copilot for chip designers with us.

Who you are:

You are excited about transforming the way chips are built by the entire chip industry, by enabling 100x faster dynamism and speed in chip design cycles.

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/infrastructure that ship to 10+ chip/IP customers
• Make architectural decisions for key product features
• Translate user feedback into product updates/features
• Plan core product roadmap and strategy with the founders

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!