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Nebius

Runs GPU clouds for AI training and deployment

Field Deployment Engineer

Equipment Field ServiceConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listed

About the Job

Requirements

  • At least 3 years of experience in data center, hardware, or IT field delivery roles.
  • Strong knowledge of server, storage, and network installation practices, including racking, cabling, power, and cooling.
  • Strong hands-on experience working on data center floors with server hardware and Linux troubleshooting.
  • A proven track record coordinating deployments across multiple stakeholders and vendors.
  • Ability to read and interpret technical documentation, layouts, and wiring diagrams.
  • Ability to perform deep diagnostics across hardware, firmware (BIOS/BMC), and Linux, including logs, drivers, storage stack basics, and performance triage.
  • Willingness to travel frequently, sometimes at short notice.

Responsibilities

  • Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders.
  • Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers.
  • Verify that all pre-deployment requirements, including racks, power, cooling, and connectivity, are met.
  • Supervise the racking, cabling, and powering of hardware equipment.
  • Ensure configuration, firmware upgrades, and integration with management systems follow standards.
  • Work with vendors, contractors, and local staff during installation.
  • Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly.
  • Document installation steps, asset data, and lessons learned for future rollouts.
  • Establish and maintain best practices for safe, efficient hardware deployment.
  • Act as the on-site point of contact for deployment activities and provide updates to project managers and leadership.
  • Support the transition of deployed hardware to operations teams for steady-state management.
  • Contribute feedback to improve hardware design and deployment playbooks.

Desired Qualifications

  • Strong familiarity with GPU server platforms and tooling, such as nvidia-smi, dcgmi, and GPU and system log correlation.
  • Experience with Redfish and BMC tooling, including ipmitool and Redfish, firmware lifecycle, and staged rollouts.
  • Scripting skills in bash and basic Python for log collection, triage automation, and simple reliability analysis.
  • Exposure to OCP-based platforms and ODM manufacturing ecosystems.
  • Familiarity with change management, asset tracking, and quality-assurance processes.
  • Understanding of health, safety, and environmental standards in data center or industrial settings.

About the Company

Nebius

Runs GPU clouds for AI training and deployment

Nebius runs an AI cloud for developers, researchers, and enterprises that train models and put them into production. Its AI Cloud combines GPU computing, storage, networking, and managed services, while Token Factory runs models through an API so teams do not manage the underlying servers. Customers rent computing and storage at usage rates or reserve capacity, choosing resources that fit short experiments or sustained production workloads. Beyond the cloud, the group owns Avride, which develops autonomous vehicles and delivery robots, and TripleTen, which teaches technical skills for people changing careers. The publicly listed group is headquartered in Amsterdam, Netherlands.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Amsterdam, Netherlands
Founded
1997

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