cerebras - Deployment Manager – Global Data Center Build and Deploy
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 • 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
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
Benefits
• People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: • 1. Build a breakthrough AI platform beyond the constraints of the GPU. • 2. Publish and open source their cutting-edge AI research. • 3. Work on one of the fastest AI supercomputers in the world. • 4. Enjoy job stability with startup vitality. • 5. Our simple, non-corporate work culture that respects individual beliefs. • Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us!
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