Data Center Support Engineer

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. Location: Vineland, NJ  The Role Nebius is seeking a Data Center Support Engineer to support large scale AI and GPU infrastructure environments. This role is responsible for troubleshooting and maintaining production infrastructure across networking, compute, storage, and transport systems within hyperscale data center operations. It will serve as a senior technical escalation point within our data center operations. This role sits above entry level and mid level technicians and is designed for an engineer who thrives in bare metal environments, has strong troubleshooting instincts, and can operate as a true “jack-of-all-trades” across hardware, networking, and systems.  The ideal candidate brings experience supporting complex distributed infrastructure environments and demonstrates strong operational troubleshooting skills across hardware, networking, Linux systems, and data center infrastructure. This position requires strong collaboration across infrastructure, network engineering, systems engineering, and operations teams to maintain reliability and operational excellence in mission-critical environments. Responsibilities: Support production infrastructure across compute, storage, networking, and transport layers Troubleshoot complex operational and infrastructure issues in large-scale distributed environments Perform hardware replacement, break/fix, diagnostics, and infrastructure maintenance activities Support switches, servers, optics, cabling, and related data center infrastructure components Troubleshoot Linux-based systems and infrastructure services in production environments Participate in incident response, root cause analysis, and operational recovery activities Execute maintenance activities and infrastructure upgrades with minimal production impact Work cross-functionally with network, systems, and engineering teams during operational events Identify recurring operational issues and contribute to long-term reliability improvements Support high-availability infrastructure environments with strong operational discipline Participate in on-call and after-hours operational support rotations as needed Maintain operational documentation, procedures, and escalation records Assist with deployment and expansion of GPU, AI, and high-performance compute infrastructure Required Qualifications: 5+ years of experience supporting data center, cloud, or infrastructure operations environments Experience troubleshooting large-scale infrastructure or distributed systems environments Strong troubleshooting skills across hardware, Linux systems, networking, and infrastructure operations Experience supporting production environments with high uptime and operational reliability requirements Familiarity with enterprise or cloud networking technologies and troubleshooting concepts Experience working with network platforms such as Arista, Cisco, Juniper, or similar Understanding of routing, switching, optics, cabling, and physical infrastructure concepts Experience performing hardware diagnostics, replacement, and infrastructure maintenance activities Ability to troubleshoot across multiple infrastructure layers including compute, storage, and networking Strong communication skills and ability to work effectively in cross-functional operational teams Comfortable operating in fast-paced production environments with changing priorities Preferred Experience: Experience supporting hyperscale, cloud-scale, or large distributed infrastructure environments Experience supporting GPU, HPC, or AI infrastructure environments Familiarity with InfiniBand, RoCE, MPO/MTP fiber, or high-speed transport networks Experience with Linux administration and operational troubleshooting at scale Experience with automation or scripting tools such as Python, Terraform, Ansible, or Bash Familiarity with monitoring, observability, and operational tooling Experience supporting clustered compute or high-performance storage environments Knowledge of infrastructure reliability, operational readiness, and incident management practices Experience working in 24/7 operational support environments Compensation We offer competitive compensation packages based on experience. Compensation Range$85,000—$140,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and work-life balance 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. Offices: New Jersey, United States (New Jersey);