# Deployment Manager

**Company:** [Cerebras Systems](https://hotfix.jobs/companies/cerebras-systems)
**Location:** Remote
**Role:** Solutions Architecture
**Experience:** 10+ years
**Skills:** data center deployment, rack integration, high-density cabling, structured cabling, InfiniBand, high-bandwidth ethernet, dcim, AI Infrastructure, hpc infrastructure, Troubleshooting, Cross-Functional Coordination, facilities coordination
**Posted:** 2026-07-20

> Lead end-to-end deployment of large-scale AI clusters in data centers, from facility readiness to customer handoff. Manage rack integration, high-density cabling, facilities coordination, troubleshooting, and cross-functional execution for hyperscale AI infrastructure.

## Job Description

## Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.

## Nice-to-Haves
- Experience with high-power, high-thermal-density environments.
- Familiarity with AI cluster architecture, topology, and scaling.

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