Cerebras Systems
Software Engineer, Cluster Deployment
Sunnyvale, CA · Mid
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- Our work turns complex bare-metal infrastructure into repeatable, automated deployment flows spanning server provisioning, network configuration, Kubernetes bring-up, health validation, and operational handoff.
Responsibilities
- Develop and maintain automation for deployment workflows, including provisioning, configuration, validation, and operational handoff.
- Participate in hands-on cluster deployments to build practical debugging and operational expertise.
- Partner with networking, infrastructure, security, and operations teams to deliver secure and reproducible data center deployments.
- We build and operate the software systems that deploy, validate, and manage AI compute clusters across data centers worldwide for the world's fastest AI Inference.
- As a Software Engineer on the Cluster Deployment Automation team, you will help build the pushbutton tooling that makes large-scale cluster deployments faster, safer, and more reproducible.
Requirements
- 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.
- Working knowledge of Git, including branching, commits, pull requests, and code review.
- CS, ECE, or related technical degree, or equivalent practical experience.
Nice to have
- 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.
- Automation side projects or open-source contributions.
- Why Join Cerebras
Skills
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
Benefits
- Add health checks, observability, dashboards, and validation logic to improve deployment reliability.
Company info
- 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.
This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.