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Cerebras Systemsvia Greenhouse

Head of IT

Sunnyvale, CAPosted 1mo ago
OtherExecutiveFull-time#ai-lab

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About the Role

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  

Cerebras' current customers include top 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. 

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.

About The Role

We are hiring a Head of IT to build and run the internal technology backbone of a company that is scaling quickly and operating at the edge of AI hardware and software. This is not a steady-state IT leadership job, It is a build-and-scale role for someone who thrives when the ground is moving. 

You will own the systems that Cerebras employees, contractors, and executives rely on every day: laptops, identity, SaaS, networking, collaboration, endpoint security, internal support, and the IT controls that a company of our maturity needs to have in place. You will keep a highly technical, impatient engineering population unblocked while hardening the environment to standards expected of a company at our stage, including SOX-grade ITGCs and SOC 2. 

Responsibilities 

  • Global IT strategy, roadmap, and budget across corporate IT, end-user computing, collaboration, identity, and internal networking. 
  • Scaling the IT organization as headcount grows, including hiring, leveling, and building regional coverage across US, EMEA, and APAC. 
  • Identity and access management: SSO, MFA, lifecycle automation, least-privilege, and joiner-mover-leaver workflows across a fast-changing org. 
  • Endpoint fleet management across macOS, Windows, and Linux, with zero-touch provisioning, MDM, patching, and a hardened baseline that works for AI research workflows. 
  • SaaS governance: rationalizing and integrating the SaaS portfolio, running vendor selection, contracts, renewals, and spend control. 
  • Corporate networking, Wi-Fi, VPN/ZTNA, and office buildouts as sites open and expand. 
  • Executive support for leadership, board, and investor-facing interactions. 
  • IT service management: ticketing, SLAs, on-call, knowledge base, and employee-experience metrics. 
  • IT controls and audit readiness, partnering with Security, Legal, and Finance. 
  • Business continuity, disaster recovery, and incident response for corporate systems.

Skills And Qualifications   

  • 10+ years in corporate IT with at least 5 years leading IT at a high-growth technology company, including experience scaling through 2-5x headcount growth. 
  • Direct hand-on experience with AI coding agents, LLM’s, scaling operations with AI supporting tooling. 
  • Hands-on experience operating IT in an environment subject to SOX ITGCs or equivalent control frameworks, including working directly with internal and external auditors. 
  • Strong technical depth across identity (Okta, Entra), MDM (Jamf, Intune), networking, and modern endpoint security. You can go toe-to-toe with your engineers, not just manage them. 
  • Track record of building IT teams that engineering respects. 
  • Ability to move quickly without breaking compliance posture. You know where a manual process is fine for now and where it is not. 
  • Good judgment on buy-vs-build and on when to automate vs. when to ship a p
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