Cerebras
Software Engineer, Cluster Deployment
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Sunnyvale, CA
Employer listed it 2 months ago · Added today
Been open since 2 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Hybrid · Sunnyvale, CA
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
This employer didn't state pay. Jobs like this usually pay around $165k–$255k a year, a typical range taken from 594 mid-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Sunnyvale, CA, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Sunnyvale, CA, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
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.
About the Role
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. 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.
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. This role is designed for talented engineers passionate about learning through hands-on work with Python, Bash, Ansible, Linux, bare-metal servers, networking equipment, Kubernetes, and observability systems while learning how production AI infrastructure is built and operated at scale.
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.
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.
- ·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.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Cerebras, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 21h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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