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Applied AI Engineer

Silimate

Mountain View, CAFull-timeSeen 1mo agoStill listed 2 days ago

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At a glance

Compensation
No compensation found
Location
Mountain View, CA
Schedule
Full-time
Work Authorization
Not specified

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Job overview

The role seeks an engineer with significant AI/ML and LLM experience to develop AI-native core tools and agents for frontend chip design workflows, making architectural decisions, translating user feedback, and planning product roadmap while shipping high‑quality code.

Skills & qualifications

RequiredNice to have

Skills

PythonC++PyTorchTraditional ML ModelsLLMsFoundation ModelsAgentsML PipelinesFine‑TuningBenchmarking LLMsResilientData‑DrivenFirst Principles ThinkingAWS SageMaker

Benefits

Medical Insurance
Vision Insurance
Dental Insurance
401(k) Match

Full 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. 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

— Apply to chat with the founders about the details!

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