Field Deploy Engineer

Location: Singapore; on-site data center work and frequent travel required

Company

Nebius builds a full-stack AI cloud platform covering data and model training through production deployment, with infrastructure spanning compute, storage, networking, and applied AI.

What you will do

• Own hardware deployment plans for new data center sites, aligning scope, timelines, and resources with project stakeholders.
• Coordinate logistics, supply chain, construction, networking, vendors, contractors, and local staff for GPU server deployments.
• Supervise racking, cabling, powering, configuration, firmware upgrades, and integration with management systems.
• Perform functional checks, acceptance testing, troubleshooting, and readiness validation for deployed infrastructure.
• Document installation procedures, asset data, lessons learned, and deployment best practices.
• Support the transition of deployed hardware to operations teams and provide status updates to project leadership.

Requirements

• 3+ years of experience in data center, hardware, or IT field delivery roles.
• Strong knowledge of server, storage, and network installation, including racking, cabling, power, and cooling.
• Hands-on experience working on data center floors with server hardware and troubleshooting Linux.
• Experience coordinating deployments across multiple stakeholders and vendors.
• Ability to interpret technical documentation, layouts, and wiring diagrams.
• Ability to diagnose hardware, BIOS/BMC firmware, and Linux issues, including logs, drivers, storage, and performance.

Nice to have

• Experience with GPU server platforms and tools such as nvidia-smi and dcgmi.
• Knowledge of Redfish, BMC tooling, ipmitool, firmware lifecycle management, and staged rollouts.
• Bash and basic Python scripting for log collection, triage automation, and reliability analysis.
• Exposure to OCP platforms, ODM manufacturing ecosystems, asset tracking, change management, or quality assurance.
• Understanding of health, safety, and environmental standards in data center or industrial settings.

Culture & Benefits

• Competitive compensation and opportunities for career growth and learning.
• Flexibility, ownership, and a collaborative working environment.
• Opportunity to contribute to impactful AI infrastructure projects.
• International environment with experienced engineering and operations specialists.