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 …
Skills: Linux Kernel, Firmware, Secure Boot, C, Rust
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 …
Skills: Firewall Policy Design, Infrastructure as Code, Terraform, Ansible, Python
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 …
Skills: Network Architecture, Cloud Networking, K8s Service Mesh, BGP, EVPN/VXLAN
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 …
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 …
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 …
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 …
Skills: Physical Design, 3D Integration, Physical Verification, Power Performance Area Optimization, Synopsys Tool Suite
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 …
Senior Front End Design Engineer (Microarchitecture)
Binangonan, Rizal, Philippines · Hybrid
$250k–$300k/yr
Senior+$3.7B raised
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 …
Skills: RTL Design, Microarchitecture, Synthesis, Front End Chip Integration, TCP/IP
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 …
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 …
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 …
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 …
Skills: Business Operations, Program Management, Operational Leadership, Strategic Planning, Change Management
Director / Senior Director, Critical Facility Operations
Binangonan, Rizal, Philippines · On-site
Senior+$3.7B raised
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 …
Skills: Critical Facility Operations, Data Center Operations, Vendor Management, Incident Response, Root Cause Analysis
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 …
Skills: Data Center Capacity Delivery, Program Management, Infrastructure Planning, Electrical Systems, Mechanical Systems
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 …
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 …
Skills: 3D Solids Modeling, Solidworks, PLM Systems, GD&T, Tolerance Analysis
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 …
Skills: Enterprise IT Security, Cloud Security, Network Security, Systems Administration, Automation
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 …
Skills: Software Architecture, Full Stack Development, Distributed Systems, Python, C++
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 …
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Full-time
Posted 5d ago
~40 hrs/week
Responsibilities
The role involves hardening the foundational layers of AI compute platforms, including the Linux kernel, firmware, and secure boot processes. The engineer will conduct security reviews of low-level components and develop kernel-level monitoring to detect attacker behavior.
Requirements
Candidates should have a background in Mechanical or Electrical Engineering with a focus on Cybersecurity and deep expertise in the Linux kernel. Proficiency in C and a modern systems language like Rust or Go is required, along with experience in platform integrity tooling.
Full job description
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.
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Related keywords
AI ChipLinux KernelFirmwareSecure BootHardware Root of TrusteBPFLSMUEFITPMCRustGoIOMMUSR-IOVConfidential ComputingCybersecurity
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up.
Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the largest AI supercomputers on Earth, while abstracting away the complexity of traditional distributed computing.
From sub-second inference speeds to breakthrough training performance, Cerebras makes it easier to build and deploy state-of-the-art AI—from proprietary enterprise models to open-source projects downloaded millions of times.
Here’s what makes our platform different:
🔦 Sub-second reasoning – Instant intelligence and real-time responsiveness, even at massive scale
⚡ Blazing-fast inference – Up to 100x performance gains over traditional AI infrastructure
🧠 Agentic AI in action – Models that can plan, act, and adapt autonomously
🌍 Scalable infrastructure – Built to move from prototype to global deployment without friction
Cerebras solutions are available in the Cerebras Cloud or on-prem, serving leading enterprises, research labs, and government agencies worldwide.
👉 Learn more: www.cerebras.ai
Join us: https://cerebras.net/careers/
Offices: 1237 E Arques Ave, Sunnyvale, California 94085, US · 150 King St W, Toronto, Ontario M5H 1J9, CA · Tokyo, JP · Bangalore, IN
artificial intelligencedeep learningnatural language processinginferencemachine learningllmAIenterprise AIand fast inferenceSemiconductor
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up.
Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the largest AI supercomputers on Earth, while abstracting away the complexity of traditional distributed computing.
From sub-second inference speeds to breakthrough training performance, Cerebras makes it easier to build and deploy state-of-the-art AI—from proprietary enterprise models to open-source projects downloaded millions of times.
Here’s what makes our platform different:
🔦 Sub-second reasoning – Instant intelligence and real-time responsiveness, even at massive scale
⚡ Blazing-fast inference – Up to 100x performance gains over traditional AI infrastructure
🧠 Agentic AI in action – Models that can plan, act, and adapt autonomously
🌍 Scalable infrastructure – Built to move from prototype to global deployment without friction
Cerebras solutions are available in the Cerebras Cloud or on-prem, serving leading enterprises, research labs, and government agencies worldwide.
👉 Learn more: www.cerebras.ai
Join us: https://cerebras.net/careers/
Offices: 1237 E Arques Ave, Sunnyvale, California 94085, US · 150 King St W, Toronto, Ontario M5H 1J9, CA · Tokyo, JP · Bangalore, IN
artificial intelligencedeep learningnatural language processinginferencemachine learningllmAIenterprise AIand fast inferenceSemiconductor