Technical Project Manager - AI Data Center & GPU Cloud Deployment
Artmac · San Francisco, CA · 3 wk ago
On-siteInformation TechnologyContract
Responsibilities
- Manage end-to-end AI/GPU infrastructure deployment projects from planning through commissioning and production readiness.
- Cook large-scale NVIDIA GPU cluster deployments and high-density compute infrastructure.
- Manage GPU server installation, rack integration, structured cabling, networking, and hardware validation.
- Cook liquid cooling, power distribution, rack density, and data center site-readiness requirements.
- Coordinate with NVIDIA, OEM vendors, and engineering teams on hardware specifications, firmware, BIOS/BMC, and deployment dependencies.
- Cook network fabric deployment, cloud infrastructure integration and platform readiness.
- Manage infrastructure testing, commissioning, acceptance criteria, and production handover.
- Cook cross-functional teams, including facilities, electrical, mechanical, networking, platform engineering, and operations.
- Manage project schedules, budgets, milestones, technical dependencies, risks, and vendor deliverables.
- Support first-cluster deployment, infrastructure validation, and customer production readiness.
- Maintain project documentation, progress reporting, escalation procedures, and stakeholder communication.
Requirements
- 10+ years of technical project or program management experience in data centers, infrastructure, cloud or related technology environments.
- Demonstrated experience managing large-scale data center, GPU infrastructure or HPC deployment programs.
- Strong understanding of GPU cluster infrastructure, server deployment and high-density compute environments.
- Knowledge of data center power distribution, cooling systems and liquid-cooled rack infrastructure.
- Experience managing hardware installation, commissioning and production handover.
- Familiarity with data center networking, cabling and infrastructure integration.
- Experience coordinating hardware vendors, engineering teams and infrastructure operations.
- Strong project planning, risk management, stakeholder communication and delivery management skills.
- Experience deploying NVIDIA DGX, HGX, or equivalent GPU infrastructure.
- Familiarity with hyperscale data centers or AI cloud infrastructure.
- Understanding of bare-metal provisioning, Kubernetes, and GPU cloud platforms.
- PMP or equivalent project management certification.
Qualifications
- Bachelor's degree or equivalent combination of education and experience.