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Senior Software Development Engineer in Test (SDET) - AI Cluster Networking and Security

Cerebras · Bengaluru, IND

CHECKED 7H AGO

Infrastructureremotesenior
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At a glance

Highlights

  • Test cutting-edge AI infrastructure behind the world's largest AI chip.
  • Ensure thousand-node AI clusters deliver 99.999% reliability at scale.
  • Drive full automation for high-availability, performance and security testing.

Ideal candidate

A curious, automation-first test innovator with deep distributed systems instincts who thrives breaking down massive AI clusters and championing reliability and security at scale.

Requirements

  • Bachelor's or master's in computer science, electrical, AI, data science or related engineering field
  • 10+ years testing enterprise software, distributed systems, or datacenter hardware and software
  • Experience with large enterprise or cloud networking infrastructure, switches, routers, firewalls
  • Experience qualifying Juniper, Arista or Cisco platforms and Ixia/Spirent test equipment
  • Experience with datacenter technologies like BGP, ECN, PFC
  • Experience testing network security, compliance and firewalls
  • Strong coding skills in Python, Golang or C/C++
  • Strong debugging skills for large distributed hardware and software systems
  • Strong understanding of OS internals, memory management, filesystems and performance
  • Strong understanding of datacenter layout, PCIe, networking and storage performance
  • Experience with AWS, Kubernetes and Docker; Grafana and Prometheus a plus
  • Familiarity with ML model training/inference and GPU or accelerator hardware a plus

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 ↗