Senior Manager, Cluster Engineering & Deployment

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

The Senior Manager, Cluster Engineering & Deployment owns and runs the machine that turns delivered racks into accepted clusters: network bring-up, fabric cabling verification against port maps, GPU node integration with the fabric, cluster-level validation and burn-in (including RCCL/collective performance), and the acceptance gate into production. This is one of the most schedule-critical roles in the pillar cluster revenue starts when this team says a cluster is ready.

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  Own the cluster deployment playbook and drive its evolution: staged bring-up, automated config push, link/optics validation, cabling verification against L1 port maps, and fault triage during deployment windows.

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  Lead deployment engineering across concurrent cluster builds, through team leads and on-site engineers; coordinate daily with Data Center Integration field teams and cabling vendors.

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  Drive deployment velocity engineering: cut bring-up time per cluster through tooling, pre-staging, and defect-source elimination, and set the targets the team is measured against.

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  Own defect feedback loops to Network Engineering (design), Layer One (cabling quality), and vendors (hardware/optics RMA patterns), holding those partners accountable to resolution.

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  Define spares, test equipment, and deployment tooling requirements per site, and standardize them across sites.

• 10+ years across network deployment, cluster/HPC bring-up, or large-scale infrastructure delivery, including managing engineers in a field/deployment setting.

• Hands-on fabric bring-up experience at scale (hundreds of switches / thousands of links per deployment).

• Strong operational rigor: building and enforcing playbooks, gates, metrics, and blameless defect loops.

• Team leadership with schedule accountability across multiple concurrent builds or sites.

• GPU cluster validation experience (NCCL/RCCL benchmarking).

• Automation skills (Python, Ansible) applied to deployment.

• Optics/link-layer debugging depth.

• Experience with acceptance testing as a commercial gate (revenue-linked).

• Own cluster validation end to end: bandwidth/latency baselines, collective (RCCL) performance tests, burn-in criteria, and go/no-go acceptance gates and raise the bar on each as the fleet scales.

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