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← Cerebras

Member of Technical Staff - DevOps and SRE

Cerebras · Sunnyvale, CA · Norway · Toronto, CAN · Finland

CHECKED 8H AGO

Infrastructureremotesenior
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At a glance

Highlights

  • Bring new large-scale data center sites online quickly and reliably.
  • Support commissioning and validation of network, power and mechanical systems.
  • Help scale ultra-fast AI inference beyond constraints of the GPU.

Ideal candidate

Hands-on infrastructure problem-solver with data center deployment experience who thrives in fast-paced field environments and loves building repeatable processes that scale across parallel sites.

Requirements

  • Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related technical field
  • At least 5 years of relevant experience in network device and server provisioning, data center infrastructure, SRE, or related field
  • Strong hands-on experience with server and network device provisioning and troubleshooting across compute, networking, OS, configuration and automation layers
  • Proficiency in Python and shell scripting with experience using automation to streamline infrastructure deployment
  • Hands-on experience with at least one major cloud platform — AWS, GCP, or Azure — and with Kubernetes
  • Experience with Infrastructure as Code and configuration management, particularly Terraform and Ansible
  • Strong knowledge of PXE, DNS, DHCP, TCP/IP, load balancing, VPCs, firewalls, VLANs, LACP, BGP, and OSPF
  • Experience upgrading server firmware, switch software OS, and PDU firmware
  • Strong problem-solving, communication, collaboration, and documentation skills in fast-paced deployment environments

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 ↗