Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; 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.

Cerebras works with the leading 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. 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

• Partner with platform, infrastructure, and hardware teams to embed security controls from physical hardware through runtime.
• Design and implement security hardening across the Linux kernel, bootloader, firmware, and host OS layers of Cerebras compute platforms.
• Drive secure boot, measured boot, and attestation strategies across our infrastructure, from the wafer-scale system to supporting host nodes.
• Conduct deep security reviews of kernel modules, drivers, and low-level system components — identifying and remediating memory safety, privilege escalation, and isolation issues.
• Develop kernel-level monitoring and telemetry (e.g., eBPF) to enable detection of low-level attacker behavior.
• Stay ahead of emerging kernel CVEs, supply chain risks, and hardware-level threats — driving response and remediation across the fleet.
• Document low-level security posture, threat models, and remediation playbooks in clear, accessible language. Skills and Qualifications
• Background in Mechanical and/or Electrical Engineering with career focus in Cybersecurity.
• Deep familiarity with the Linux kernel — including kernel modules, syscall interface, namespaces, cgroups, eBPF, and LSM.
• Hands-on experience with firmware, UEFI, secure boot, TPM, and platform integrity tooling.
• Strong proficiency in C and a modern systems language (Rust, Go, or similar), with the ability to read and write production kernel code.
• Familiarity with hardware-level isolation primitives (e.g., IOMMU, SR-IOV, confidential computing); exposure to non-standard compute architectures a plus.
• Strong written communication skills, with the ability to make low-level security concepts approachable for non-specialists. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.