Field Deploy Engineer

Location: Hyderabad, India About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment. As a Field Delivery Engineer, you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications. Your responsibilities will include: Planning & Coordination 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 all pre-deployment requirements (racks, power, cooling, connectivity) are met. On-Site Delivery & Installation Supervise racking, cabling, and powering of hardware equipment. Ensure configuration, firmware upgrades, and integration with management systems follow standards. Work closely with vendors, contractors, and local staff during the installation phase. Quality & Readiness 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. Collaboration & Reporting Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership. Support transition of deployed hardware to operations teams for steady-state management. Contribute feedback to improve hardware design and deployment playbooks. We expect you to have: 3+ years' experience in data center, hardware, or IT field delivery roles. Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling). Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting. 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 (logs, drivers, storage stack basics, performance triage). Excellent organizational, communication, and problem-solving skills. Willingness to travel frequently (sometimes at short notice). It will be an added bonus if you have: Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation). Experience with Redfish and BMC tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts. Scripting skills (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 datacenter or industrial settings. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.