Security & IT General Opportunities

Cerebras Systems•Toronto, ON

About The Position

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 Team Our IT & Security team sits at the intersection of security, infrastructure, and cutting-edge AI systems. The team plays a critical role in ensuring Cerebras’ environments are secure, reliable, scalable, and ready to support customers operating at the frontier of AI. We are looking for people who care deeply about operational excellence, security best practices, automation, and building systems that can support a rapidly growing organization.

Requirements

Think about infrastructure, security, and operations through an automation-first mindset
Believe that repeatable, scalable systems are better than manual processes
Care deeply about security, reliability, and operational excellence
Enjoy working on complex, high-impact systems
Are comfortable collaborating across IT, Infrastructure, Security, and Engineering teams
Want to build, improve, and protect systems that support some of the most advanced AI workloads in the world
Relevant experience may include one or more of the following: IT Operations or Systems Administration, Enterprise Security, Security Engineering, Network Security, Systems Security, Infrastructure Security, Cloud Security, Endpoint, Identity, or Access Management, Security Operations, Detection, or Incident Response, Automation, scripting, or infrastructure-as-code practices

Responsibilities

Securing and scaling enterprise IT, cloud, network, and infrastructure environments
Building automation and tooling to improve security, reliability, and operational efficiency
Supporting security engineering, detection, response, and vulnerability management efforts
Improving identity, access, endpoint, network, and systems security practices
Partnering cross-functionally with IT, Infrastructure, Security, and Engineering teams
Developing processes and systems that help Cerebras scale securely and efficiently
Supporting operational rigor across high-impact technical environments