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Staff Software Engineer, Inference Cloud

Cerebras · Sunnyvale, CA

CHECKED 8H AGO

Infrastructureonsitestaff
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At a glance

Highlights

  • Own major areas of Inference Cloud architecture behind ultra-fast AI service.
  • Design multi-region traffic, routing and failover for global-scale inference.
  • Build systems delivering 10x faster inference than GPU hyperscale clouds.

Ideal candidate

Seasoned distributed-systems builder who thrives on high-scale, latency-sensitive challenges and owns critical architecture end-to-end. You lead through technical depth, operational rigor, and calm production leadership.

Requirements

  • 8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure.
  • Deep expertise in distributed systems architecture in cloud environments, including networking, compute orchestration, container platforms, and multi-region production services.
  • Strong track record of making sound architectural decisions for highly available, latency-sensitive systems at scale.
  • Experience optimizing latency, throughput, and efficiency in high-QPS systems.
  • Strong proficiency in backend or systems languages such as Go, C++, or Python, with ability to contribute production code directly.
  • Experience designing observability and reliability practices, including metrics, logging, tracing, alerting, incident response, and SLO-driven operations.
  • Ability to influence senior engineers and cross-functional partners through technical credibility, communication, and judgment.

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 ↗