Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
About the role
We are hiring a Software Engineer to build and operate the platform layer behind Cerebras engineering infrastructure. You will work on CI/CD systems, Kubernetes, deployment automation, cloud and on-premises infrastructure, developer environments, artifact management, and observability. You will help make the systems engineers depend on reliable, scalable, and easy to operate.
What they're looking for
- 5+ years of professional experience in platform engineering, DevOps, infrastructure engineering, site reliability engineering, or software engineering
- Hands-on experience building or maintaining CI/CD pipelines and automated software-delivery workflows
- Experience deploying and operating services using Kubernetes and containerized environments
- Experience with a major cloud platform, preferably AWS, and programmatic infrastructure provisioning
- Strong understanding of Linux or Unix operating-system fundamentals
- Understanding of networking concepts such as DNS, routing, load balancing, proxies, ports, TLS, and service connectivity
More about this role
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.
The Core Infrastructure team builds the software systems that power engineering workflows across Cerebras.
Our infrastructure coordinates complex work across machines, clusters, development environments, and hardware systems. We build orchestration frameworks, execution engines, scheduling systems, test infrastructure, developer tools, and reusable software platforms that allow engineers to build, test, qualify, and deliver software reliably at scale.
These systems are primarily built in Python,...
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