Cerebras
Deployment Manager – Global Data Center Build and Deploy
Remote role where the employee must remain based in a particular country.
United States only
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
United States only
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $145k–$210k a year, a typical range taken from 255 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Sunnyvale, CA, Remote"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
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.
The Role
The Deployment Manager – Global Data Center Build and Deploy is responsible for the end-to-end execution of AI cluster deployments within large-scale data centers, specifically taking from facility ready for power and cooling to customer hand-off. This role leads rack integration, high-density inter-rack cabling, and close coordination with facilities, networking, and operations teams to deliver Cerebras Wafer Scale Engine based clusters safely, on schedule, and to strict quality standards.
The ideal candidate has deep experience deploying AI infrastructure, understands the operational demands of high-power, high-thermal-density environments, and excels at troubleshooting complex cabling and integration issues. This role requires providing directions to technicians on the Data Center floor, and resolve any issue blocking build and deploy in data centers. The role requires traveling and physically present at Data Center weeks at a time.
Responsibilities
AI Cluster Deployment & Rack Integration
Lead deployment of AI clusters including Cerebras Wafer Scale Engine, high-speed switches, storage, and rack-level infrastructure
Coordinate rack integration of high-density compute, specialized racks, and associated power components (PDUs, busway drops)
Ensure deployment aligns with AI cluster architecture, topology, and scaling requirements
High-Density Inter-Rack & Intra-Rack Cabling
Manage installation of high-speed interconnect cabling (fiber and copper) supporting AI fabrics (east–west traffic) in Data Centers
Coordinate inter-rack and intra-rack cabling for AI clusters, including spine-leaf and pod-level designs
Ensure proper routing, airflow clearance, labeling, and testing of all AI-related cabling
Facilities & Infrastructure Coordination
Work closely with facilities teams on power capacity, cooling readiness, containment, and grounding for dense racks
Coordinate deployment sequencing with facility commissioning milestones
Validate white-space readiness before rack and cluster deployment
Provide directions to technicians on the data center floor.
Troubleshooting & Issue Resolution
Troubleshoot cabling, connectivity, and integration issues impacting AI cluster bring-up
Lead root-cause analysis for deployment blockers related to cabling, hardware placement, or facilities dependencies
Support validation, burn-in, and handoff of AI clusters to operations teams
Cross-Functional Execution
Partner with network, server, AI platform, and operations teams to align on deployment plans and readiness
Requirements
- ·Bachelor’s degree in Engineering, IT, or equivalent practical experience
- ·10+ years of experience in data center deployments, infrastructure delivery, or integration roles
- ·Ability to provide directions to technicians on data center floor.
- ·Hands-on experience deploying hyperscale AI, ML, or HPC infrastructure
- ·Strong experience with structured cabling in high-density environments, and troubleshooting
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, 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 22h 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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