> Markdown version of [/jobs/ext/4504137-l3-support-engineer-data-center-infrastructure](https://www.wearedevelopers.com/jobs/ext/4504137-l3-support-engineer-data-center-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # L3 Support Engineer, Data Center Infrastructure - **Company:** Nebius Group - **Location:** Saddle River, NJ, United States - **Experience:** Expert - **Salary:** $125,000 - $180,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Computer Engineering, Data Centers, Linux, Firmware, Graphics Processing Unit (GPU), Computer Network Operations, High Performance Computing, System Availability, Reliability of Systems, Hardware Infrastructure - **Published:** November 2, 2026 - **Apply:** https://www.careerbuilder.com/job-details/l3-support-engineer-data-center-infrastructure-saddle-river-nj--895ea2bf-2a3e-4a27-8df4-31d5486f53be ## About the Role Network Operations Center, Technical Support, Artificial Intelligence (AI), Cloud Computing, Data Modeling, GPU (Graphics Processing Unit), Research & Development (R&D), Hubs, Network Operations Center, Continuous Improvement, * Strong hands-on expertise with server hardware in data center or large-scale production environments * Proven experience performing root cause analysis of hardware and firmware failures * Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes * Experience working directly with hardware vendors and engineering teams to resolve production issues * Structured problem-solving skills using formal IT or incident management methodologies * Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns * Experience coordinating technical activities with on-site operations teams * Ability to manage multiple concurrent investigations with production impact * Clear written and verbal communication skills in cross-functional environments It will be an added bonus if you have * Experience in GPU-dense, AI, or high-performance computing environments * Exposure to firmware lifecycle management and large-scale rollout validation * Familiarity with Linux-based production systems and infrastructure tooling * Experience improving fleet-wide hardware reliability metrics at scale, 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. ## Description We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability. You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments. Your responsibilities will include * Leading root cause analysis for complex hardware and firmware failures across production fleets * Aggregating recurring problems and error patterns to identify systemic reliability issues * Acting as the senior escalation point for hardware-related incidents impacting availability or performance * Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions * Partnering with internal engineering teams to validate fixes and prevent recurrence * Performing hardware and firmware validation before fleet-wide rollout * Driving structured incident investigations using established IT problem management methodologies * Supporting on-site teams with technical coordination during critical hardware events * Improving hardware observability, failure tracking, and reporting processes * Contributing to long-term hardware reliability strategy and fleet-wide stability improvements