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Cerebras

AI accelerator hardware replacing GPUs

Senior Manager - Cluster Security

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USA$140k - $240k /yrIn-person

About the Job

Requirements

  • At least 3 years of demonstrated engineering leadership or management experience in distributed systems security.
  • A proven track record of delivering products and launching and deploying secured distributed solutions to customers.
  • Strong communication, articulation, collaboration, and stakeholder-management abilities.
  • Strong decision-making skills using data and trade-off analysis.
  • Strong product sense and understanding of user journeys, with creative problem-solving ability.
  • Ability to execute roadmaps and schedules under tight timelines and budgets.
  • A strong background in multi-tenancy of large-scale clusters.
  • Strong technical experience with computer and cluster networks.

Responsibilities

  • Serve as the primary engineering representative and owner of cluster security.
  • Provide technical leadership in cluster security across the company.
  • Work with corporate security and customers to identify and define needed security enhancements.
  • Build engineering-driven software that provides guardrails, detection solutions, and vulnerability-response tools across all layers of the vertical stack, including hardware and software.
  • Collaborate cross-functionally, both vertically and horizontally, to ensure end-to-end security of cluster software.
  • Develop, maintain, and execute the cluster security product roadmap.
  • Build an engineering team to deliver security solutions.

Desired Qualifications

  • Strong technical background in distributed systems software development, including Kubernetes and its ecosystem.
  • Technical experience with bare-metal cluster management software and related monitoring.

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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