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AI Inference Core - Infrastructure SW Engineer

Cerebras · Sunnyvale, CA

CHECKED 8H AGO

Infrastructureremotemid-level
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At a glance

Highlights

  • Design core orchestration systems behind the world's largest AI chip.
  • Build control-plane frameworks managing execution across large clusters.
  • Help define APIs other engineering teams depend on every day.

Ideal candidate

Systems thinker with 3+ years building maintainable platforms who loves debugging complex distributed problems and designing clean abstractions that other engineers rely on daily.

Requirements

  • 3+ years of professional software-engineering experience
  • Strong proficiency in Python and understanding of runtime behavior
  • Experience designing maintainable systems, libraries, frameworks or backend services
  • Good judgment around software architecture, abstraction and maintainability
  • Understanding of concurrency including processes, threads and async execution
  • Foundational understanding of operating systems, processes and filesystems

Lab profile

About Cerebras

Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.

What they build

  • Wafer-scale AI chips
  • AI training systems
  • Cloud inference service

Known for

  • 56x larger chips than GPUs
  • 10x faster inference than GPU clouds
  • Industry-leading training speed
More about Cerebras →
Apply on the lab’s site ↗