2 дня назад
Deployment Manager – Global Data Center Build and Deploy
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Deployment Manager – Global Data Center Build and Deploy (AI infrastructure): Leading end-to-end deployment of Cerebras AI clusters in large-scale data centers with an accent on rack integration, high-density cabling, and facilities readiness. Focus on troubleshooting complex integration blockers, coordinating technicians and cross-functional teams, and delivering safe, validated clusters under tight timelines.
Location: Remote, with required travel and physical presence at data centers for weeks at a time; headquarters/office in Sunnyvale.
Company
builds large-scale AI accelerator hardware and systems for model labs, enterprises, and AI-native startups.
What you will do
- Lead end-to-end deployment of Wafer Scale Engine AI clusters, high-speed switches, storage, and rack-level infrastructure.
- Coordinate rack integration, power components, white-space readiness, cooling readiness, containment, and grounding with facilities teams.
- Manage high-density fiber and copper cabling, including spine-leaf and pod-level interconnects, routing, airflow clearance, labeling, and testing.
- Direct data center technicians and troubleshoot cabling, connectivity, hardware placement, and integration issues blocking cluster bring-up.
- Support validation, burn-in, operational handoff, and multiple parallel deployments across sites or availability zones.
- Communicate deployment risks, dependencies, milestones, and readiness across network, server, AI platform, facilities, and operations teams.
Requirements
- 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 complex deployment issues.
- Familiarity with high-speed fabrics such as InfiniBand and high-bandwidth Ethernet.
- Experience providing direction to technicians, managing cross-functional deployment programs, and using DCIM or deployment tracking systems.
Culture & Benefits
- Build an AI platform designed to extend beyond GPU constraints.
- Work with one of the fastest AI supercomputers in the world.
- Opportunity to contribute to and publish cutting-edge AI research.
- Startup vitality combined with job stability.
- Simple, non-corporate culture focused on individual beliefs, learning, growth, and support.
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