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Cerebras

AI accelerator hardware replacing GPUs

Operations Tech Lead

Engineering LeadershipPosted on Nov 13
Full-timeSunnyvale, CA, USAHybrid

About the Job

Requirements

  • A strong engineering foundation and hands-on experience with complex hardware, ideally including design or systems engineering.
  • A track record of taking hardware through factory builds, new product introduction, and production ramp.
  • Technical credibility to challenge design assumptions and improve manufacturability, testability, quality, and cost.
  • Experience aligning engineering, operations, suppliers, and manufacturing partners around clear priorities and accountable execution.
  • Practical expertise in debug, failure analysis, root cause, and verified corrective action.
  • Experience assessing build readiness, managing configuration and change impacts, and making sound recommendations with incomplete information.
  • Ability to explain technical tradeoffs, communicate difficult risks to senior leaders, and drive decisions and issue closure.

Responsibilities

  • Lead the cross-functional Operations Technical Team to drive new product introduction programs from early design planning through factory builds and production ramp.
  • Partner with hardware and design engineers to improve manufacturability, assembly, test, and serviceability before designs are finalized.
  • Own the integrated technical risk and readiness assessment across hardware, software, manufacturing processes, test, materials, capacity, and quality.
  • Lead Build Readiness Reviews and deliver clear, evidence-based go, conditional-go, or hold recommendations to the build owner.
  • Establish technical priorities, accountable owners, and recovery plans, escalating risks and decisions when needed.
  • Lead factory technical triage, coordinating containment, root-cause investigations, corrective actions, and verification with the responsible engineering and quality teams.
  • Coordinate readiness for engineering changes, alternate components, and second sources with the appropriate functional approval owners.
  • Turn build results, yield trends, and failure analysis into lessons and improvements that strengthen subsequent builds and production scale.

About the Company

Cerebras

AI accelerator hardware replacing GPUs

Cerebras Systems creates AI acceleration hardware and software. Its CS-2 system is designed to replace traditional GPU clusters for AI workloads, speeding up training and inference while simplifying the setup by eliminating the need for parallel programming, distributed training, and cluster management. The product works as a single, large processor-based accelerator with accompanying software and cloud services to run AI models efficiently, reducing latency and time to results. Compared with competitors, Cerebras differentiates itself with the largest processor in the industry and an integrated hardware-software stack that aims to streamline AI workflows rather than relying on multi-GPU clusters. The company's goal is to help research labs, healthcare, finance, and other industries achieve faster, more cost-effective AI development and deployment by offering a turnkey high-performance AI compute solution.

Company size
501-1,000
Company stage
IPO
Headquarters
Sunnyvale, CA
Founded
2016

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