Software Engineer, Cluster Deployment

Cerebras Systems; Sunnyvale (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Cerebras Systems in Sunnyvale, CA, is seeking an infrastructure engineer to develop and maintain automated deployment workflows for our data center scale. You will turn manual steps into reliable push-button processes and participate in hands-on cluster deployments to build practical debugging and operational expertise.

You should have 2+ years in large-scale data center deployments, strong Python and Bash skills, Linux, Git, and a technical degree, with a willingness to work hands-on on real

Qualifications

• 2+ years of mid- to large-scale data center deployment.
• Strong fundamentals in Python and Bash, with the ability to write scripts and small programs.
• Basic Linux experience, including command-line usage, processes, filesystems, and disk troubleshooting.
• Working knowledge of Git, including branching, commits, pull requests, and code review.
• CS, ECE, or related technical degree, or equivalent practical experience.
• Curiosity, strong problem-solving instincts, and willingness to work hands-on with real infrastructure.

Responsibilities

• Develop and maintain deployment automation for provisioning, configuration, validation, and handoff.
• Turn manual deployment steps into tested, repeatable pushbutton workflows.
• Participate in hands-on cluster deployments to build practical debugging and operational expertise.
• Troubleshoot issues across Linux systems, bare-metal servers, networking, storage, Kubernetes, and connectivity.
• Contribute to infrastructure-as-code and GitOps workflows using Terraform, Ansible, pull requests, and code review.
• Add health checks, observability, dashboards, and validation logic to improve deployment reliability.
• Partner with networking, infrastructure, security, and operations teams to deliver secure and reproducible data center deployments.

Skills

Python

Bash scripting

Linux

Git

Hands-on infrastructure

Problem solving

Education

CS/EE or related degree

Tools

Terraform

Ansible

Kubernetes

Git

PXE/BIOS provisioning

Job description

About the 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.

Responsibilities

• Develop and maintain automation for deployment workflows, including provisioning, configuration, validation, and operational handoff.
• Turn manual deployment steps into tested, repeatable pushbutton workflows.
• Participate in hands-on cluster deployments to build practical debugging and operational expertise.
• Troubleshoot issues across Linux systems, bare-metal servers, networking, storage, Kubernetes, and connectivity.
• Contribute to infrastructure-as-code and GitOps workflows using tools such as Terraform, Ansible, pull requests, and code review.
• Add health checks, observability, dashboards, and validation logic to improve deployment reliability.
• Partner with networking, infrastructure, security, and operations teams to deliver secure and reproducible data center deployments.

Basic Qualifications

• 2+ years of mid- to large-scale data center deployment
• Strong fundamentals in Python and Bash, with the ability to write scripts and small programs.
• Basic Linux experience, including command-line usage, processes, filesystems, and disk troubleshooting.
• Working knowledge of Git, including branching, commits, pull requests, and code review.
• CS, ECE, or related technical degree, or equivalent practical experience.
• Curiosity, strong problem-solving instincts, and willingness to work hands-on with real infrastructure.

Preferred Qualifications

• Networking fundamentals, including VLANs and routing basics; exposure to BGP, switch configuration, or Arista EOS automation is a plus.
• Kubernetes experience or familiarity.
• Infrastructure-as-code and GitOps experience, including Terraform, Ansible, and PR-based change control.
• Bare-metal provisioning concepts such as PXE, DHCP, iPXE, Redfish, IPMI, and BMC management.
• Observability experience with Prometheus or Grafana.
• API design and client-server architecture.
• Automation side projects or open-source contributions.

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:

1. Build a breakthrough AI platform beyond the constraints of the GPU.
2. Publish and open source their cutting-edge AI research.
3. Work on one of the fastest AI supercomputers in the world.
4. Enjoy job stability with startup vitality.
5. Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

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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