Startups · AI

Infrastructure Engineer (Data Center Operations)

Cerebras Systems · Sunnyvale, CA · Remote

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About Cerebras Systems

Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.

About the role

Physically install, rack, cable, and maintain blade servers and hardware components (CPUs, DIMMs, NICs, storage devices, etc.) Connect servers to high-speed networks (100G/400G), verify optics/DACs, and check link status

What they're looking for

  • 3–5+ years of experience in data center, lab, or infrastructure engineering roles
  • Proficient in Linux system administration and network configuration
  • Strong hands-on knowledge of x86 server hardware and enterprise networking
  • Familiar with BIOS configuration, firmware updates, and remote management tools
  • Skilled in physical setup and troubleshooting of high-speed NICs and optical links
  • Experience with VLANs, static routing, and diagnosing layer 1–3 issues
More about this role

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

About the Role: We are looking for a hands-on Infrastructure Engineer to join our team and support our high-performance, on-premise server and networking infrastructure. You will be responsible for maintaining, provisioning, and troubleshooting hardware and Linux systems, working closely with network and system teams. This is an in-person role, ideal for someone who enjoys working across hardware, networking, and system layers.

Physically install, rack, cable, and maintain blade servers and...

Read the full posting on Cerebras Systems's site ↗

Software Engineering

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