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Head of IT

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Cerebras Systems, Inc.
Full Time position
Listed on 2026-07-02
Job specializations:
  • IT/Tech
    IT Project Manager, IT Infrastructure
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

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 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 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 build‑outs to support 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, LLMs, 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 versus when to ship a process and iterate.
  • Direct, clear communicator, comfortable briefing the CEO, CFO, and Audit Committee.
Nice‑to‑haves
  • Experience with hardware labs, manufacturing, hardware engineering, etc.
  • Experience supporting AI/ML research organizations or semiconductor and hardware engineering teams.
  • Exposure to global expansion, including EMEA and the Middle East.
  • Experience working in environments with sensitive IP and export‑control considerations.
How You Work
  • Bias to action. In a company moving at this pace, a slow decision usually costs more than a wrong one.
  • Focused on the people you support. Your job is to take friction out of their day.
  • Pragmatic about technology. You…
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