Senior GPU Data Center Engineer

Prime Intellect AI; San Francisco (CA); On-site; USD 150,000 - 300,000; Full time

Job summary

Prime Intellect AI in San Francisco seeks an operations-focused engineer to own the GPU cloud infrastructure. You will coordinate datacenter deployments, manage hardware, and drive incident response with our partners to ensure dependable production capacity.

You will maintain asset records, runbooks, and performance dashboards, while collaborating with facilities, networking, and software teams to scale high-density GPU deployments for frontier AI workloads.

Qualifications

• 3+ years in datacenter operations, hardware infrastructure, or production systems operations.
• Hands-on experience deploying and troubleshooting rack-mounted servers, networking equipment, and structured cabling.
• Experience coordinating datacenter providers, remote hands, and hardware vendors through deployments and incidents.
• Working knowledge of Linux diagnostics, BMC consoles, and server hardware health tools.
• Strong operational judgment, documentation habits, and ownership of issues through resolution.

Responsibilities

• Own the operational readiness of the GPU cloud infrastructure behind our platform.
• Coordinate rack deployment, cabling, inventory, and acceptance testing with datacenter partners and engineering teams.
• Maintain accurate asset records, rack layouts, power allocations, cabling documentation, and spare-parts inventories.
• Lead hardware fault triage and coordinate remote hands, vendor escalations, component replacement, and RMA workflows.
• Establish maintenance plans and change procedures that minimize customer disruption and protect equipment and data.
• Track capacity readiness, hardware failure trends, repair times, and operational risks; automate reporting and workflows.
• Partner with facility teams on power, cooling, environmental monitoring, and readiness for high-density GPU deployments.
• Create runbooks and escalation procedures and support incident response across datacenter and infrastructure teams.

Skills

Linux diagnostics

BMC consoles

Server health tools

Rack deployment

Vendor coordination

Scripting basics

Tools

DGX/HGX systems

Fleet provisioning

Asset tracking software

Job description

Prime Intellect AI in San Francisco seeks an operations-focused engineer to own the GPU cloud infrastructure. You will coordinate datacenter deployments, manage hardware, and drive incident response with our partners to ensure dependable production capacity.

You will maintain asset records, runbooks, and performance dashboards, while collaborating with facilities, networking, and software teams to scale high-density GPU deployments for frontier AI workloads.