Senior Hardware Support Engineer

Reposted Yesterday
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Birmingham, AL, USA
In-Office
125K-180K Annually
Senior level
Artificial Intelligence • Information Technology • Consulting
The Role
The Senior Hardware Support Engineer is responsible for ensuring production hardware reliability in data centers, leading root cause analysis, coordinating with vendors, and improving hardware stability and observability.
Summary Generated by Built In

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.

The role

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

What we expect you to have

  • 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

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

Key employee 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.

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.

Skills Required

  • Strong hands-on expertise with server hardware in data center environments
  • Experience performing root cause analysis of hardware and firmware failures
  • Deep understanding of server components and failure modes
  • Experience working with hardware vendors and engineering teams
  • Structured problem-solving skills
  • Strong analytical capabilities and ability to interpret logs
  • Experience coordinating with on-site operations teams
  • Clear written and verbal communication skills
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The Company
473 Employees

What We Do

Cloud platform specifically designed to train AI models

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