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DAMAC

DC HW Field Engineer

DAMAC is hiring a DC HW Field Engineer. Level rates it ; you can apply on DAMAC.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Nvidia Dgx, Nvidia Hgx and Infiniband.
  • Level classifies it as a mid-level role.
  • Level lists 71 other open roles at DAMAC.
  • The role was posted in the last few days.

AI in this role

Install, maintain, and troubleshoot high-performance GPU hardware and AI compute infrastructure in a data center.

Nvidia DgxNvidia HgxInfinibandVast DataWekaPure StorageAristaCisco
hardware-deploymentgpu-infrastructurestructured-cablingcommissioningtroubleshooting

About DAMAC Digital

DAMAC Digital is building next-generation AI infrastructure powered by cutting-edge GPU computing platforms. We are seeking a hands-on GPU Data Center Hardware Field Engineer to support our Bangkok data center (BKK-02), ensuring the reliable deployment, operation, and maintenance of high-performance AI infrastructure.

This role is ideal for an experienced data center professional who thrives in mission-critical environments and has deep expertise in server, storage, networking, and GPU hardware operations.

The Role

As a GPU Data Center Hardware Field Engineer, you will be the on-site technical backbone of our AI infrastructure, responsible for installing, commissioning, maintaining, and troubleshooting NVIDIA GPU servers, storage systems, and high-speed network fabrics.

Working in a rotating shift pattern alongside a second Field Engineer, you will collaborate closely with regional NOC teams, remote solution architects, OEM vendors, and data center operations teams to ensure maximum uptime and operational excellence.

Key Responsibilities

Hardware Deployment & Installation

  • Rack, stack, cable, and deploy NVIDIA DGX, HGX, B200, B300, and GB300 GPU platforms according to engineering specifications.
  • Install and integrate enterprise storage platforms including VAST Data, Weka, DDN, and Pure Storage.
  • Deploy networking equipment including NVIDIA Spectrum, NVIDIA Quantum InfiniBand, Arista, and Cisco platforms.
  • Execute structured cabling for InfiniBand XDR, NDR, HDR, 400G/800G Ethernet, fiber optics, and copper infrastructure.
  • Label, document, and photograph all hardware installations to maintain accurate as-built documentation.

Commissioning & Testing

  • Perform power-on activities and configure BIOS, BMC, and firmware settings for newly deployed GPU infrastructure.
  • Conduct burn-in testing and hardware validation procedures.
  • Execute optical loss measurements, cable-map verification, and network link validation testing.
  • Support cluster commissioning and acceptance testing activities, including NCCL benchmark validation alongside remote engineering teams.

Maintenance & Break-Fix Support

  • Act as the first responder for hardware incidents involving:
    • NVIDIA GPU platforms
    • Power supplies (PSUs)
    • Cooling fans
    • Memory (DIMMs)
    • Network interface cards (NICs)
    • Optical transceivers
  • Coordinate warranty replacements and RMAs with NVIDIA, Supermicro, Dell, HPE, and other equipment manufacturers.
  • Execute preventive maintenance schedules and firmware upgrade activities.
  • Support liquid-cooling and CDU inspections and coordinate thermal-event responses with facilities teams.

Site Operations & Change Management

  • Escort OEM engineers, contractors, and third-party vendors during site activities.
  • Execute approved Change Requests in accordance with DAMAC Digital change-management procedures.
  • Maintain accurate DCIM records, spare-parts inventories, and consumable stock levels.
  • Participate in a 24×7 on-call rotation to support site operations and emergency hardware incidents.

Documentation & Reporting

  • Update rack elevations, network diagrams, cable maps, and asset management systems following every infrastructure change.
  • Produce detailed shift handover reports and incident summaries.
  • Escalate recurring issues, operational risks, and hardware reliability concerns to management.
  • Support post-incident reviews and continuous improvement initiatives.

Required Qualifications

  • Based in Thailand with a valid right to work.
  • Minimum 4 years of hands-on data center engineering experience supporting servers, storage, and networking infrastructure.
  • Proven experience with NVIDIA DGX/HGX platforms or comparable multi-GPU environments from Supermicro, Dell, or HPE.
  • Strong expertise in:
    • InfiniBand networking
    • High-speed Ethernet fabrics
    • Fiber optic infrastructure
    • MPO and LC connectivity
    • Optical transceiver troubleshooting
  • Experience working with:
    • BMC
    • iDRAC
    • iLO
    • IPMI
    • Serial console environments
    • Firmware lifecycle management
  • Solid understanding of Tier III/Tier IV data center operational procedures and safety standards.
  • Fluent Thai language skills with professional working proficiency in English.
  • Physically capable of lifting and installing equipment up to 25kg and working in data center cold-aisle environments.

Preferred Qualifications

  • NVIDIA Certified Associate – AI Infrastructure & Operations.
  • OEM certifications from NVIDIA, Supermicro, Dell, HPE, Arista, or Cisco.
  • Experience supporting hyperscale, colocation, or large-scale AI cluster deployments.
  • Familiarity with:
    • Direct-to-chip cooling
    • Rear-door heat exchangers
    • Liquid-cooling environments
  • Linux administration and command-line experience.
  • Basic scripting knowledge in Python, Bash, or PowerShell.
  • Experience within a 24×7 operations environment.
  • Familiarity with ServiceNow, Jira, or similar ITSM platforms.

What Success Looks Like

  • Safe and efficient deployment of high-density AI infrastructure.
  • Rapid diagnosis and resolution of hardware incidents.
  • High infrastructure availability and operational readiness.
  • Accurate asset, cabling, and configuration documentation.
  • Effective coordination with engineering teams, OEMs, and data center operators.
  • Continuous contribution to operational excellence and infrastructure reliability.

Working Arrangement

  • Full-time, on-site position located at BKK-02 Data Center, Bangkok, Thailand.
  • Rotating shift schedule with shared on-call responsibilities.
  • Occasional regional travel for deployment support, training, and project activities.

Join DAMAC Digital

Be part of a team building the infrastructure that powers the next generation of artificial intelligence. If you are passionate about high-performance computing, cutting-edge GPU technology, and mission-critical data center operations, we invite you to apply.

How we rate this

DC HW Field Engineer at DAMAC rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Hardware DeploymentGPU InfrastructureStructured CablingCommissioningTroubleshootingNvidia DgxNvidia HgxInfiniband

Questions you could be asked

  1. Tell me about a project where hardware deployment was part of your work. What did you do?
  2. Tell me about a project where gpu infrastructure was part of your work. What did you do?
  3. Tell me about a project where structured cabling was part of your work. What did you do?
  4. Tell me about a project where commissioning was part of your work. What did you do?
  5. Tell me about a project where troubleshooting was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Hardware Deployment, GPU Infrastructure, Structured Cabling, Commissioning, and Troubleshooting. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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