senior Security Engineer ic
$140,000 – $240,000
USD per year

About this role

Cerebras Systems is hiring a senior-level Security Engineer based in Sunnyvale, CA. The posting calls out experience with C#, Kubernetes, LLMs, Distributed Systems. Compensation is listed at $140,000–$240,000 per year.

Role
Security Engineer
Function
security
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Sunnyvale, CA
Department
Software
AI Summary
Lead security architecture for Cerebras' large-scale AI clusters with hundreds of wafer-scale accelerators and thousands of servers. Own end-to-end cluster security, multi-tenancy solutions, network/user access controls, and detection/response tools. Collaborate with corporate security and customers on security enhancements.

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Job description

from Cerebras Systems careers

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.

Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

About The Role

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.

This is an excerpt. Read the full job description on Cerebras Systems careers →
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