Field Application Engineer AI Cloud

Skills

About the Role

You will assess data centers for AI and GPU infrastructure deployments through remote reviews and on-site inspections. You will validate power, cooling, rack capacity, networking, operational readiness, and commissioning evidence; identify risks and remediation needs; prepare go or no-go assessments; and coordinate technical resolutions with operators, vendors, utilities, contractors, and internal stakeholders.

Requirements

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, a related discipline, or equivalent practical experience.
• 5+ years of experience in data center engineering, critical facilities, infrastructure solutions engineering, commissioning, or field applications engineering.
• Hands-on experience assessing or delivering data centers and resolving deployment blockers.
• Knowledge of electrical and mechanical infrastructure, including power distribution, backup systems, cooling, facility capacity, and usable IT load.
• Ability to read electrical single-line diagrams, mechanical schematics, equipment data sheets, rack layouts, and commissioning reports.
• Understanding of AI or HPC infrastructure, high-density GPU systems, liquid cooling, and high-speed networking.
• Ability to write site assessment reports, compare options, estimate remediation scope, and communicate technical risks and tradeoffs.
• Professional English communication skills.
• Willingness to travel for site assessments and deployment support.

Responsibilities

• Lead remote reviews and on-site inspections of data centers for GPU cluster deployments.
• Validate operator claims using drawings, specifications, operating records, utility documentation, and commissioning evidence.
• Assess usable IT capacity, rack density, expansion constraints, power distribution, UPS systems, backup generation, and redundancy.
• Evaluate air cooling and direct-to-chip liquid cooling systems.
• Review rack space, floor loading, access, cabling, carrier diversity, fiber routes, bandwidth, and latency.
• Assess monitoring, maintenance, incident response, remote hands, physical security, and acceptance records.
• Classify sites by deployment readiness and required upgrades.
• Produce site assessments covering capacity, rack count, dependencies, costs, schedule risks, and go or no-go recommendations.
• Resolve technical questions with operators, landlords, utilities, vendors, and contractors.
• Define remediation and acceptance criteria and verify closure of critical issues.
• Partner with relevant stakeholders to establish an assessment process and prioritize qualified sites.