GPU Data Center Field Engineer — On‑Site Travel

Megaport; Cincinnati (OH); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Flexible working environment – remote‑

Health and wellness support

Job summary

Megaport is seeking two Field Engineers to support our Cincinnati, OH data center footprint. You will install, maintain, troubleshoot, and repair GPU servers and related infrastructure, travel between local data centers, and act as on-site lead for deployments with partner teams.

The role requires advanced English, hands-on server hardware experience, and the ability to coordinate remote hands while ensuring high availability for production AI workloads.

Qualifications

• Advanced English communication skills, both written and spoken.
• Proven hands-on experience with datacenter server hardware: installation, troubleshooting, replacement and validation.
• Solid knowledge of GPU server platforms and architecture (SXM/HGX, NVLink, NVSwitch).
• High-power server design and power budgeting (10–15 kW).
• Experience with out-of-band management for diagnostics and remote troubleshooting.

Responsibilities

• Maintain and repair GPU servers and supporting infrastructure.
• Deploy, rack, and cable GPU servers and related equipment.
• Coordinate remote hands teams and oversee deployments at partner facilities.
• Respond to incidents within SLAs and maintain up-to-date documentation.
• Travel between nearby data centers and support regional deployments.

Skills

GPU servers

Server hardware

Troubleshooting hardware

Advanced English

On-site field work

Remote hands coordination

Documentation

Power & cabling knowledge

Tools

BMC/IPMI

Redfish

NVIDIA nvidia-smi

DCGM

iDRAC/Supermicro IPMI

Job description

Megaport is seeking two Field Engineers to support our Cincinnati, OH data center footprint. You will install, maintain, troubleshoot, and repair GPU servers and related infrastructure, travel between local data centers, and act as on-site lead for deployments with partner teams.

The role requires advanced English, hands-on server hardware experience, and the ability to coordinate remote hands while ensuring high availability for production AI workloads.