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In this role, you will be the security czar for the Cerebras’s AI cluster product. Such AI clusters have 100’s of Wafer-scale accelerator systems, 1000’s of high-end servers, and several 1000’s of networking ports including switches. Plus, there will be network attached storage, all in a large-scale datacenter. You will ensure that Cerebras’s large-scale AI clusters are secured through first-principles, best practices, security-first based engineering. Cerebras cluster involves complex HW components, networking and a vertically integrated cluster management software stack – all the way from a bare-metal deployment that brings up an operational cluster to a suite of cluster management software that enables multi-tenant higher-level training and inference services to be hosted on such large clusters. Your role will be to ensure both end-to-end security as well as privacy of such cluster use-cases. You will develop security engineering solutions that have the necessary network access control, user access controls, and world-class multi-tenancy solution
Job Responsibility:
Be the primary engineering face and owner of cluster security
Provide strong technical leadership in cluster security for the company
Actively work with corporate security, and customers to identify and define security enhancements needed
Build engineering driven software that will provide guardrails, detection solution and response tools for vulnerabilities at all layers of vertical stack (includes HW and SW)
Straddle vertically and horizontally cross functional collaboration to ensure end-to-end cluster software is secure
Develop, maintain and execute roadmap of the cluster security product
Build an outstanding engineering team to deliver world-class security solution
Requirements:
3+ years of demonstrated engineering leadership/management role in distributed systems security
Proven track record of delivering product, launching and deploying secured distributed solutions to customers
Excellent communication, articulation, collaboration and ability to act as a stakeholder
Tough decision-making skills with data and trade-off analysis
Outstanding sense for product and user journeys, out-of-box thinker
Outstanding road map and schedule execution skills under tight timeline and budgets
Strong background in multi-tenancy of large scale clusters is necessary
Strong technical experience in computer and cluster networks is necessary
Strong technical background in distributed systems software development (K8s and its ecosystem) is preferred
Technical experience with bare metal cluster management software and related monitoring is preferred
What we offer:
Build a breakthrough AI platform beyond the constraints of the GPU
Publish and open source their cutting-edge AI research
Work on one of the fastest AI supercomputers in the world
Enjoy job stability with startup vitality
Our simple, non-corporate work culture that respects individual beliefs