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Silimate

Applied AI Engineer

Mountain View, CA, US / San Francisco, CA, US · Not specified

Annual base salary
$140k – $220k USD
Equity
Not disclosed
Commitment
Full Time
Company stage
Not disclosed

Compensation as listed

$140K - $220K  •  0.50% - 2.00%

About Silimate

Silimate helps chip teams at Fortune enterprises and chip unicorns build better chips faster.

At Silimate, we're building AI-native tools & agents for frontend chip design. Today, Silimate is helping chip teams create & iterate to correct, PPA-optimized designs 40x faster. Our goal is to enable autonomous spec-to-design for silicon.

We're profitable, growing fast, and hiring for key roles to drive our product development and customer support.

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

About the role

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!

Source: Y Combinator. Confirm availability with the employer.

Apply through the original posting.

View listing