Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Linux @ 3
Communication @ 4
Networking @ 7
Reporting @ 4
Cloud Computing @ 4
GPU @ 4
Observability @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside experienced and innovative leaders and engineers.
Role overview
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.
Responsibilities
- Lead root cause analysis for complex hardware and firmware failures across production fleets.
- Aggregate recurring problems and error patterns to identify systemic reliability issues.
- Act as the senior escalation point for hardware-related incidents impacting availability or performance.
- Coordinate with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions.
- Partner with internal engineering teams to validate fixes and prevent recurrence.
- Perform hardware and firmware validation before fleet-wide rollout.
- Drive structured incident investigations using established IT problem management methodologies.
- Support on-site teams with technical coordination during critical hardware events.
- Improve hardware observability, failure tracking, and reporting processes.
- Contribute to long-term hardware reliability strategy and fleet-wide stability improvements.
Requirements
- 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.
Nice to 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.
Working conditions
- Remote work within the United States.
- Occasional travel may be required for on-site coordination or critical hardware events.
- Participation in incident escalations for production-impacting events.
Benefits
- Comprehensive medical, dental, and vision coverage.
- 401(k) plan with company contribution.
- Flexible paid time off.
- Paid parental leave.
- Professional development support.
Compensation
$125,000 $180,000 per year plus annual performance-based bonus.