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 global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. The Role As a Cybersecurity GRC Engineer, you will have a rare opportunity as a cybersecurity and Governance, Risk, and Compliance (GRC) subject matter expert and top-tier engineer to not only drive compliance, but to build the technology that will shape our organization's security posture, and to establish yourself as a thought leader in both the cybersecurity and GRC industries. You will report directly to the Director of Cybersecurity Governance, Risk, and Compliance, and work closely with the Cybersecurity team, IT, Engineering / Developers, Legal, and additional stakeholder teams to drive innovative solutions for automating and enhancing security governance, risk, and compliance processes, and embed and integrate security risk and compliance across enterprise-wide processes, including development, change management, and third-party risk management. The Cybersecurity GRC Engineer will support the design, implementation, and ongoing evolution of a “Compliance‑as‑Code” program that translates security industry and regulatory requirements into automated, testable policies across cloud, infrastructure, and application layers. You will also be responsible for building real‑time compliance dashboards and reporting that give leadership clear visibility into the organization’s security risk posture. Proficiency with AI tools (LLMs, prompt engineering, generative‑AI workflows) is a core requirement – you’ll use AI to streamline policy creation and implementation, evidence generation, and remediation suggestions. Experience with designing and implementing autonomous “agentic AI” solutions is preferred.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Mid Level
Number of Employees
251-500 employees