[Hiring] Member of Technical Staff @Prime Intellect

Role Description

You'll own the operational readiness of the physical infrastructure behind our GPU cloud. Coordinate deployments, hardware maintenance, and incident response with datacenter partners, turning new capacity into dependable production infrastructure and reducing time to repair.

Core Technical Responsibilities

• Coordinate rack deployment, cabling, inventory, and acceptance testing for new GPU capacity 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 repetitive 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.

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.

Requirements

• GPU server components, PCIe devices, memory, storage, and hardware diagnostics.
• Rack power budgeting, redundant power paths, airflow, and high-density cooling fundamentals.
• Fiber and copper cabling, optics, labeling, and physical network troubleshooting.
• Asset tracking, spares management, change control, and incident management.
• Basic scripting for inventory, health checks, and operational automation; familiarity with safe datacenter working practices.

Nice to Have

• Experience with NVIDIA DGX/HGX systems or large GPU cluster deployments.
• Liquid-cooled infrastructure and coordination with facility engineering teams.
• Experience bringing up new datacenter sites or expanding multi-site capacity.
• Hardware qualification, burn-in testing, and reliability analysis.
• Experience integrating physical operations with automated fleet provisioning.

Growth Opportunity

You'll work directly with customers pushing the boundaries of AI, from startups training foundation models to enterprises deploying massive inference infrastructure. You'll collaborate with our world-class engineering team while having direct impact on systems powering the next generation of AI breakthroughs.

Compensation

Cash compensation range of $150,000–$300,000 plus equity incentives.