Nebius · 4 weeks ago
Data Center Infrastructure Engineer
Nebius is leading a new era in cloud computing to serve the global AI economy, creating tools and resources for customers to solve real-world challenges. As a Data Center Infrastructure Engineer, you will maintain and optimize the IT infrastructure within the data center, troubleshoot hardware issues, and ensure the smooth operation of critical systems.
AI InfrastructureCloud InfrastructureGPUIaaSPaaS
Responsibilities
Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture and advanced troubleshooting
Take charge of hardware problem management, workarounds and solutions
Act as a subject matter expert and point of escalation for team members
Create new processes and documentation for IT hardware team
Collaborate with R&D to improve our hardware designs
Collaborate with vendors on warranty replacements (RMA)
Improve support processes, documentation and training materials
Qualification
Required
Knowledge of datacenters, and server equipment
Deep knowledge of IT hardware and practical experience of troubleshooting
Advanced skills working with the Unix/linux operating system and command line
Experience with equipment monitoring, data analysis and presentation
Proactiveness and sense of responsibility
High proficiency in spoken and written English
Preferred
Valid Drivers License
Skills of repairing electronics at the component level (SMD)
Knowledge of network equipment and troubleshooting
Benefits
Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
401(k) Plan: Up to 4% company match with immediate vesting.
Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.
Company
Nebius
The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.
Funding
Current Stage
Late StageTotal Funding
$1.04B2025-06-04Debt Financing· $1B
2025-05-15Grant· $45M
2024-12-02Seed
Recent News
2025-10-25
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