Deployment Manager – Global Data Center Build and Deploy

This is a fully remote position, open to applicants in California.

📋 Description

• Oversee the deployment of AI clusters, which includes the Cerebras Wafer Scale Engine, high-speed switches, storage solutions, and rack-level infrastructure.

• Facilitate the integration of high-density compute racks, specialized racks, and relevant power components (PDUs, busway drops).

• Ensure that the deployment is consistent with the AI cluster architecture, topology, and scaling requirements.

• Manage the installation of high-speed interconnect cabling (fiber and copper) that supports AI fabrics (east–west traffic) within Data Centers.

• Coordinate the cabling for both inter-rack and intra-rack connections for AI clusters, including spine-leaf and pod-level designs.

• Ensure that all AI-related cabling is routed properly, has adequate airflow clearance, is labeled correctly, and is tested thoroughly.

• Collaborate closely with facilities teams regarding power capacity, cooling preparedness, containment, and grounding for dense racks.

• Organize the deployment sequencing in alignment with facility commissioning milestones.

• Validate the readiness of white-space prior to the deployment of racks and clusters.

• Troubleshoot issues related to cabling, connectivity, and integration that could affect the bring-up of AI clusters.

• Lead root-cause analyses for deployment hindrances associated with cabling, hardware positioning, or facility dependencies.

• Assist in the validation, burn-in, and transition of AI clusters to operations teams.

• Collaborate with network, server, AI platform, and operations teams to ensure alignment on deployment plans and readiness.

• Oversee multiple simultaneous AI cluster deployments across various sites or availability zones.

• Clearly communicate risks, dependencies, and milestones to stakeholders.

• Ensure all deployments adhere to company design standards, structured cabling best practices, and AI deployment protocols.

• Validate as-built documentation, check labeling accuracy, and maintain deployment checklists.

• Keep precise records of cluster configurations, cabling, and deployment statuses.

• Uphold EHS, data center safety, and access control protocols throughout the deployment process.

⛳️ Requirements

• Bachelor's degree in Engineering, IT, or a related field of practical experience.

• A minimum of 10 years in data center deployments, infrastructure delivery, or integration roles.

• Capability to provide guidance to technicians on the data center floor.

• Practical experience in deploying hyperscale AI, ML, or HPC infrastructure.

• Strong background in structured cabling within high-density environments, along with troubleshooting skills.

• Demonstrated ability to manage complex, cross-functional deployment initiatives.

• Familiarity with high-speed fabrics (e.g., InfiniBand, high-bandwidth Ethernet).

• Experience with DCIM or deployment tracking systems.

• Strong attention to detail and operational diligence.

• Ability to perform effectively under tight deadlines and production constraints.

🏝️ Benefits

• Develop a groundbreaking AI platform that transcends GPU limitations.

• Publish and open-source cutting-edge AI research.

• Work on one of the world's fastest AI supercomputers.

• Enjoy job security combined with the dynamism of a startup environment.

• Experience a straightforward, non-corporate work culture that respects individual beliefs.