[Remote] Technical Project Manager, GPU Infrastructure Deployment

Note: The job is a remote job and is open to candidates in USA. 5C Data Centers builds digital infrastructure supporting hyperscalers, artificial intelligence innovation, and high-performance computing across North America. The Technical Project Manager will lead the planning, coordination, and execution of large-scale GPU cluster infrastructure deployments, managing schedules, milestones, risks, dependencies, and cross-functional communication. The role also coordinates compute, networking, storage, facilities, power, cooling, automation, and operational handoff to ensure deployments are delivered on time and ready for operations.

Responsibilities

• Lead end-to-end project management for large-scale AI/GPU cluster deployments, including multi-rack GPU compute platforms (NVIDIA DGX and similar), InfiniBand and Ethernet GPU fabrics, and high-performance storage environments (e.g., VAST Data)
• Partner with engineering teams and managers to establish and drive consistent project tracking, milestone reporting, and status updates across the team and systems (e.g., Jira, Confluence)
• Coordinate procurement, rack-and-stack sequencing, cabling schedules, network deployment timelines, burn-in testing, cluster validation, and operational handoff
• Coordinate with facilities engineering and datacenter operations to align MEP readiness (power distribution, cooling capacity, floor layout, containment) with deployment schedules
• Communicate project status, risks, milestones, and dependencies to stakeholders at all levels including executive leadership
• Prepare and present regular program reviews, steering committee updates, and ad-hoc project analyses
• Maintain centralized project documentation and ensure consistent, accurate data
• Contribute to improving and documenting repeatable deployment methodologies, scalable operational standards, and project management best practices
• Track deployment KPIs (schedule variance, budget adherence, quality metrics) and drive continuous improvement through data-driven retrospectives

Skills

• Experience with hyperscale cloud providers, large-scale data center deployments, or AI infrastructure programs
• Familiarity with:
• Infrastructure-as-Code and configuration management (Ansible)
• Python, Shell, and SQL for infrastructure automation and diagnostics
• DCIM, BMS, and observability platforms for liquid-cooled environments
• NVIDIA/Mellanox networking platforms and NVLink/NVSwitch technologies
• Experience coordinating with MEP engineering teams on electrical and cooling infrastructure scheduling for large-scale deployments
• Experience with procurement processes in infrastructure delivery contexts

Benefits

• Remote work arrangement
• Build a rewarding career in one of the world's fastest-growing industries
• Help power the infrastructure behind AI and high-performance computing
• Entrepreneurial culture where employees' ideas matter and employees are empowered to help shape the future
• Medical insurance
• Vision insurance
• Dental insurance
• 401(k)
• Pension plan

Company Overview