About The RoleIn 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
Responsibilities- 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.
Skills & Qualifications- 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.
The salary range for this position is $140,000 - $240,000 annually. Actual compensation will be determined based on factors such as experience, skills, qualifications, and location.
