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Senior Inference ML API SDET

Cerebras · Sunnyvale, CA · Toronto, CAN

CHECKED 7H AGO

Infrastructureonsitesenior
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At a glance

Highlights

  • Own quality for Cerebras Inference Cloud production releases at scale.
  • Validate ultra high-speed AI inference on world's largest AI chip.
  • Build scalable test frameworks for multi-region cloud deployments.

Ideal candidate

Senior quality leader with 5+ years testing large-scale systems who thrives in fast-moving environments and cares deeply about customer trust, rigorous validation, and mentoring others.

Requirements

  • 5+ years of relevant industry experience in software integration, development, or quality engineering
  • Deep expertise in automation and programming using Python, C++, or Go with ability to build reusable test frameworks
  • Proven experience testing compute, machine learning, networking, or storage systems in large-scale enterprise environments
  • Strong track record debugging complex issues across distributed, scaled-out deployments
  • Demonstrated ability to lead cross-functional quality initiatives and drive projects independently
  • Excellent verbal and written communication skills with experience presenting to engineering and leadership
  • Experience leading and mentoring engineers across geographically dispersed teams and time zones
remote policy
Hybrid, 3 days per week in-office; fully remote not available

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 ↗