Distributed Systems Cluster Security Software – Engineering Lead

Stack

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 provides guardrails, detection solutions and response tools for vulnerabilities at all layers of the vertical stack (hardware and software)
• ▹Straddle vertical and horizontal cross functional collaboration to ensure end-to-end cluster software is secure
• ▹Develop, maintain and execute the roadmap of the cluster security product
• ▹Build an outstanding engineering team to deliver a world-class security solution

Requirements

• ▹3+ years of demonstrated engineering leadership/management role in distributed systems security
• ▹Proven track record of delivering products, 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 roadmap and schedule execution skills under tight timelines and budgets
• ▹Strong background in multi-tenancy of large scale clusters
• ▹Strong technical experience in computer and cluster networks

Nice to have

• ▹Strong technical background in distributed systems software development (K8s and its ecosystem)
• ▹Technical experience with bare metal cluster management software and related monitoring

Soft skills

What we offer

• ▹Build a breakthrough AI platform beyond the constraints of the GPU
• ▹Publish and open source your cutting-edge AI research
• ▹Work on one of the fastest AI supercomputers in the world
• ▹Enjoy job stability with startup vitality
• ▹A simple, non-corporate work culture that respects individual beliefs

About the company

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs, delivering industry-leading training and inference speeds — over 10 times faster than GPU-based hyperscale cloud inference services. OpenAI recently announced a multi-year partnership with Cerebras to deploy 750 megawatts of scale.