Security Engineer
Design and secure low‑level hardware for wafer‑scale AI chips, applying ASIC design, Verilog/VHDL, and cryptographic techniques while using C/C++ and Python for verification and tooling.
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
We are seeking a Hardware / Low Level Security Engineer to harden the foundational layers of the systems that run the fastest AI inference on earth. You will work close to the metal — across the Linux kernel, firmware, secure boot, and hardware roots of trust — to identify weaknesses, build defenses, and partner with platform and infrastructure teams to ship low-level security improvements. The right candidate brings deep systems expertise, a security mindset shaped by hands-on hardening and exploitation, and a passion for protecting unique compute architectures at scale.
Responsibilities
Skills and Qualifications
Posted June 26, 2026