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AI Engineer

Cerebras · Sunnyvale, CA

Infrastructureremote
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At a glance

Highlights

  • Build prototypes showcasing ultra-fast inference on world's largest AI chip.
  • Turn model experiments into tutorials, demos and launch stories for developers.
  • Optimize agent harnesses for speed, reliability and output quality.

Ideal candidate

An AI builder who loves experimenting with new models and sharing learnings through clear technical writing and demos. Curious, independent, and energized by helping developers build faster, real-time AI experiences.

Requirements

  • Strong portfolio of AI applications, prototypes, technical writing, tutorials or developer-facing work
  • Hands-on experience building with model APIs and debugging AI application workflows
  • Excellent technical writing skills with ability to explain complex implementations clearly
  • Experience with agent harnesses involving prompting, tool calling, context management and evaluation
  • Informed view of the AI developer ecosystem and curiosity about new models and frameworks
  • Strong technical judgment with ability to design fair comparisons and verify results
  • Ability to scope projects, ship independently and collaborate with technical and creative partners

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 ↗

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