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Engineering Lead for Distributed Systems Cluster Security Software

Cerebras SystemsSunnyvale, CA
On-site Full-time $140K/yr - $240K/yr

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Experience Level

Manager

Qualifications

To excel in this role, candidates should possess a profound understanding of distributed systems, network security, and large-scale software engineering. Experience in designing and implementing security architectures in complex environments is crucial. Familiarity with cloud-based infrastructures and AI systems will be advantageous. Strong analytical and problem-solving skills, along with the ability to work collaboratively within a team, are essential.

About the job

At Cerebras Systems, we are pioneering the future of artificial intelligence with the development of the world's largest AI chip, which is an astonishing 56 times larger than traditional GPUs. Our innovative wafer-scale architecture combines the computational power of numerous GPUs into a single chip, simplifying programming and enhancing efficiency. This unique approach enables us to achieve unparalleled training and inference speeds, empowering machine learning practitioners to run extensive ML applications seamlessly, without the complexities of juggling multiple GPUs or TPUs.

Our clientele includes leading model labs, global corporations, and groundbreaking AI-focused startups. Notably, OpenAI has recently partnered with Cerebras to harness 750 megawatts of scale, revolutionizing critical workloads with ultra-fast inference capabilities.

Thanks to our cutting-edge wafer-scale technology, Cerebras Inference delivers the fastest Generative AI inference solutions available, exceeding GPU-based hyperscale cloud services by over ten times. This significant leap in speed is revolutionizing user interactions with AI applications, facilitating real-time adjustments and enhancing intelligence through advanced computational capabilities.

About The Role

As the security lead for Cerebras's AI cluster product, you will be at the forefront of ensuring the security of our large-scale AI clusters, which consist of hundreds of wafer-scale accelerator systems, thousands of high-performance servers, and numerous networking ports, including switches. This will also involve managing network-attached storage within a vast data center.

Your primary responsibility will be to implement security measures based on established best practices and first principles, ensuring the protection of Cerebras's extensive AI clusters. These clusters comprise intricate hardware components, networking systems, and a fully integrated cluster management software stack that ranges from bare-metal deployments to sophisticated management systems that enable multi-tenant training and inference services across these expansive clusters.

You will focus on guaranteeing end-to-end security and privacy for various cluster applications, developing security engineering solutions incorporating robust network access controls, user access management, and an exceptional multi-tenancy framework.

About Cerebras Systems

Cerebras Systems is a trailblazer in the AI hardware sector, recognized for creating the world's largest AI chip. Our focus on wafer-scale technology sets us apart, enabling unmatched performance and efficiency in AI computations that redefine the landscape of artificial intelligence and machine learning. Our partnerships with industry leaders like OpenAI underscore our commitment to advancing AI capabilities and delivering unprecedented computational power.

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