Cerebras
AI
DevOpsEngineer-NewGrad2026
Neural analysis suggests this role is
optimal for Entry candidates.
“DevOps Engineer - New Grad 2026 at Cerebras. Skills: DevOps, CI/CD, container technology, cloud platforms. develop and maintain the infrastructure required to build, test, operate, simulate, and evaluate the Cerebras software stack. designing efficient, scalable workflows for automating processes in the cloud and in our datacenter”
Industry & Context.
What They're Looking For.
Must Have
Enrolled in a University program with a degree in Computer Science, Computer Engineering, or other related disciplines, Experience in software development environments, Proficient in Python, Proficient in shell scripting, Proficient in Makefiles, end-to-end triage, debug, and troubleshooting skills, Experience with Jenkins and other CI/CD platforms, Experience with Docker, Experience with Kubernetes, Experience with container technology in general, Experience building services on top of AWS or other cloud platforms at scale
Nice to Have
UI experience highly desirable
What You'll Do.
develop and maintain the infrastructure required to build
and evaluate the Cerebras software stack
scalable workflows for automating processes in the cloud and in our datacenter
monitor the quality and performance of the software that runs on the Wafer Scale Engine (WSE)
How You'll Work.
Team & Collaboration
collaborate with world-class engineers; work closely with the development and product management teams
Full Job Description
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 As a New Graduate Software Engineer, you will collaborate with world-class engineers to solve real-world challenges across the software stack. You will contribute to software systems that directly impact performance, scalability, reliability, and usability of next-generation AI infrastructure. You will gain hands-on experience working across multiple layers of a fully integrated AI-accelerated system, including advanced hardware interfaces, low-level infrastructure, distributed systems, compilers, and ML frameworks. Responsibilities You will develop and maintain the infrastructure required to build, test, operate, simulate, and evaluate the Cerebras software stack. As a DevOps engineer, you will be responsible for designing efficient, scalable workflows for automating processes in the cloud and in our datacenter. You will work closely w
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