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.
We are seeking an IT Infrastructure Engineer – RMA & Hardware Diagnostics to own advanced hardware troubleshooting and RMA lifecycle management within our production data center environments. This role serves as the escalation point for complex server and firmware-related issues that impact system reliability and fleet availability.
You will be responsible for deep diagnostics across enterprise server platforms, performing structured root cause analysis, validating failed components, and managing end-to-end warranty replacement processes with OEM vendors. This is a hands-on technical role with direct impact on hardware reliability, SLA performance, and operational scalability.
You will work on-site in one of our data centers, collaborating closely with L1/L2 technicians, infrastructure engineers, and vendors to reduce repeat failures and improve overall hardware quality across the fleet.
You’re welcome to work in our Minnesota location.
Your responsibilities will include:
Perform advanced firmware and hardware diagnostics on enterprise server platforms, including CPU, memory, PCIe devices, GPUs, storage subsystems, and power components
Troubleshoot complex hardware failures using system logs, BMC/IPMI interfaces, BIOS diagnostics, and vendor-specific tooling
Act as the primary escalation point for L1 and L2 technicians on high-impact hardware incidents
Conduct structured root cause analysis and document findings to prevent repeat failures
Own the full RMA lifecycle, including validation of failed components, warranty claim creation, vendor coordination, tracking, and resolution
Interface directly with OEM vendors to escalate recurring hardware defects and drive corrective action
Analyze hardware failure trends and report metrics such as repeat RMA rates and component reliability
Develop and standardize diagnostic playbooks, troubleshooting workflows, and hardware validation procedures
Validate replacement components prior to redeployment into production environments
Collaborate cross-functionally with data center operations, procurement, and engineering teams to improve hardware lifecycle processes
Contribute to reducing MTTR and improving fleet-wide reliability through process improvements and knowledge sharing
We expect you to have:
5+ years of hands-on experience working with enterprise server hardware in a production data center environment
Deep understanding of x86 server architecture, including CPUs, memory, PCIe devices, storage controllers, GPUs, and power subsystems
Strong experience performing firmware and BIOS/BMC diagnostics and upgrades
Advanced Linux command-line troubleshooting skills, including log analysis and hardware-level diagnostics
Experience working with remote management interfaces such as IPMI, iDRAC, iLO, or equivalent
Proven experience managing hardware RMA processes and working directly with OEM vendors
Ability to conduct structured root cause analysis and document technical findings clearly
Familiarity with hardware monitoring systems and failure trend analysis
Strong ownership mindset and ability to operate independently in mission-critical environments
High proficiency in spoken and written English
It will be an added bonus if you have:
Experience performing board-level diagnostics and component-level repair (SMD rework)
Familiarity with data center networking equipment and basic network troubleshooting
Experience supporting GPU-dense or high-performance compute environments
Valid driver’s license
Compensation
We offer competitive salaries, ranging from $76,800k - $184,300k OTE (On Target Earnings) based on your experience and skills.
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
- 5+ years hands-on experience with enterprise server hardware in production data centers
- Deep understanding of x86 server architecture including CPU, memory, PCIe, storage controllers, GPUs, and power subsystems
- Strong experience performing firmware and BIOS/BMC diagnostics and upgrades
- Advanced Linux command-line troubleshooting skills including log analysis and hardware-level diagnostics
- Experience with remote management interfaces such as IPMI, iDRAC, or iLO
- Proven experience managing hardware RMA processes and working directly with OEM vendors
- Ability to conduct structured root cause analysis and clearly document technical findings
- Familiarity with hardware monitoring systems and failure trend analysis
- Strong ownership mindset and ability to operate independently in mission-critical environments
- High proficiency in spoken and written English
- Experience performing board-level diagnostics and component-level repair (SMD rework)
- Familiarity with data center networking equipment and basic network troubleshooting
- Experience supporting GPU-dense or high-performance compute environments
- Valid driver's license
What We Do
Cloud platform specifically designed to train AI models
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