L3 Support Engineer (Data Center Infrastructure)

Location: Onsite at the Birmingham, Alabama data center, United States. Applicants must be authorized to work in the country where they apply.

Salary: $125,000–$180,000 per year plus an annual performance-based bonus. A base compensation range of $147,200–$183,900 USD is also listed.

Company

Nebius builds a full-stack AI cloud platform covering data and model training through production deployment, with infrastructure spanning compute, storage, networking, and applied AI.

What you will do

• Lead root cause analysis for complex hardware and firmware failures across production fleets.
• Act as the senior escalation point for incidents affecting system availability or performance.
• Coordinate with vendors on diagnostics, RMAs, firmware fixes, and corrective actions.
• Partner with engineering and onsite operations teams to validate fixes and prevent recurrence.
• Perform hardware and firmware validation before fleet-wide rollouts.
• Improve hardware observability, failure tracking, reporting, and long-term fleet reliability.

Requirements

• Strong hands-on expertise with server hardware in data center or large-scale production environments.
• Proven experience analyzing hardware and firmware failures and identifying root causes.
• Deep understanding of CPU, memory, storage, networking, power, BMC, and related failure modes.
• Experience working with hardware vendors, engineering teams, and onsite operations teams.
• Strong analytical, structured problem-solving, incident management, and communication skills.
• Ability to manage multiple concurrent investigations with production impact.

Nice to have

• Experience with 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.

Culture & Benefits

• Medical, dental, and vision coverage.
• 401(k) plan with company contribution.
• Flexible paid time off and paid parental leave.
• Professional development and learning support.
• Collaborative international environment focused on impactful AI infrastructure.