Deployment Manager – Global Data Center Build and Deploy

Cerebras Systems, Inc.; Sunnyvale (CA); On-site; USD 190,000 - 260,000; Full time

Job summary

Cerebras Systems, Inc. is seeking a Deployment Manager to lead global data center builds and deployments of AI clusters. You will drive rack integration, high-density cabling, and facilities coordination to enable safe, on-time delivery of Cerebras Wafer Scale Engine based systems.

Candidates should bring 10+ years in data center deployments and hands-on hyperscale infrastructure experience. You will collaborate with facilities, networking, and operations teams, manage multiple concurrent site

Qualifications

• Bachelor's degree in Engineering, IT, or equivalent practical experience.
• 10+ years of experience in data center deployments, infrastructure delivery, or integration roles.
• Hands-on experience deploying hyperscale AI, ML, or HPC infrastructure.
• Strong experience with structured cabling in high-density environments and troubleshooting.

Responsibilities

• Lead end-to-end AI cluster deployment and rack integration from power-ready to hand-off.
• Coordinate high-density inter-rack and intra-rack cabling and topology alignment.
• Collaborate with facilities, networking, and operations to hit schedule and quality targets.
• Troubleshoot cabling, connectivity, and integration blockers on the data center floor.
• Provide direction to technicians and manage cross-site deployment programs.
• Maintain deployment documentation, labeling, and as-built records.
• Enforce safety, EHS, and proper handling of heavy GPU equipment.

Skills

Data center deployments

Infra delivery

Cross-functional leadership

Structured cabling

DCIM tools

Safety compliance

Vendor coordination

Education

Bachelor's degree in Engineering or IT

Tools

InfiniBand

High-bandwidth Ethernet

DCIM systems

Job description

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
• Manage multiple parallel AI cluster deployments across sites or availability zones
• Communicate risks, dependencies, and milestones clearly to stakeholders

Quality, Standards & Documentation

• Ensure deployments follow company design standards, structured cabling best practices, and AI deployment playbooks
• Validate as-built documentation, labeling accuracy, and deployment checklists
• Maintain accurate records for cluster configuration, cabling, and deployment status

Safety & Risk Management

• Enforce EHS, data center safety, and access control procedures during deployment
• Ensure safe handling of heavy, high-power GPU equipment
• Proactively identify and mitigate deployment and operational risks

Qualifications

• 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
• Proven ability to manage complex, cross-functional deployment programs
• Familiarity with high-speed fabrics (e.g., InfiniBand, high-bandwidth Ethernet)
• Experience with DCIM or deployment tracking systems
• Strong attention to detail and operational rigor
• Ability to perform under tight timelines and production constraints

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 us.

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