[Remote] Field Data Center Hardware Engineer

Note: The job is a remote job and is open to candidates in USA. Nebius is building a full-stack AI cloud platform for developers and enterprises. The Senior Delivery Deployment Engineer will own the end-to-end deployment and production readiness of GPU platforms in data centers, leading rack bring-up, validating NVIDIA systems, coordinating repairs, and collaborating with hardware, networking, and infrastructure teams.

Responsibilities

• Lead end-to-end deployment of GB-series racks within data center environments
• Oversee installation, bring-up, validation, and production readiness of NVIDIA H200 and B200-based servers
• Troubleshoot complex hardware, firmware, Linux OS, and networking issues
• Execute structured testing and validation procedures during deployment
• Develop and maintain basic Linux-based hardware health-check and diagnostic scripts
• Coordinate on-site hardware repairs, part replacements, and vendor escalations
• Drive root cause analysis and ensure corrective actions are implemented
• Manage and prioritize deployment timelines across multiple concurrent rollouts
• Provide technical leadership and guidance to on-site engineers and technicians
• Partner with networking and infrastructure teams to ensure seamless integration
• Document deployment processes, validation standards, and operational runbooks

Skills

• Strong hands-on experience deploying and operating data center infrastructure
• Deep familiarity with GPU-dense systems, ideally NVIDIA H-series platforms
• Experience working with high-density rack deployments (GB-series or similar)
• Solid Linux experience, including troubleshooting and scripting
• Ability to diagnose issues across hardware, OS, firmware, and network layers
• Experience coordinating field repairs and working directly with hardware vendors
• Proven experience leading technical teams or overseeing field operations
• High ownership mindset and ability to operate in production-critical environments
• Clear communication skills and ability to collaborate across distributed teams
• Applicants must be authorized to work in the country in which they apply
• Experience deploying AI or HPC clusters at scale
• Familiarity with automated provisioning or infrastructure lifecycle systems
• Background in hardware qualification, burn-in testing, or factory validation
• Experience supporting rapid infrastructure expansion
• Exposure to ARM-based or heterogeneous compute environments

Benefits

• Quarterly performance bonuses
• 100% company-paid medical, dental, and vision coverage for employees and families
• 401(k) plan with up to 4% company match and immediate vesting
• 20 weeks paid parental leave for primary caregivers
• 12 weeks paid parental leave for secondary caregivers
• Remote work reimbursement of up to $85/month for mobile and internet
• Company-paid short-term disability, long-term disability, and life insurance coverage
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams

Company Overview