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NebiusNE

L3 Hardware Support Lead

Nebius is a cutting-edge AI cloud platform that offers scalable infrastructure for developing and deploying AI solutions.

Nebius

Employee count: 201-500

Salary: 125k-180k USD

United States only

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Why work at NebiusNebius 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 some of the most experienced and innovative leaders and engineers in the field.

Where we workHeadquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

The role:

We are looking for a Lead Hardware Support Engineer to build and lead a production-grade L3 hardware support and escalation function for large-scale, GPU-dense datacenter infrastructure. This role owns high-severity incident response, complex hardware and firmware investigations, and enterprise customer escalations under contractual SLAs.

You will establish processes from scratch, lead incident command during critical outages, and build a team capable of operating across distributed, multi-region environments. The role combines hands-on technical depth with operational leadership and people management. You will be accountable for fleet stability, escalation efficiency, root cause clarity, and continuous improvement across server hardware platforms.

Your responsibilities will include:

  • Building and leading the L3 and escalation support function for datacenter server infrastructure across multiple regions

  • Acting as Incident Commander for high-severity production incidents, driving structured mitigation and communication

  • Owning incident response, problem management, and cross-team escalation workflows end-to-end

  • Supporting enterprise bare metal customers under contractual SLAs, including executive-level stakeholder communication

  • Driving root cause analysis for hardware, firmware, and platform-level failures with clear corrective actions

  • Managing vendor escalations with ODMs and OEMs through formal support channels and direct engagement

  • Partnering with datacenter operations, hardware engineering, and infrastructure teams to improve reliability at fleet scale

  • Establishing KPIs, escalation standards, and operational playbooks for production hardware support

  • Hiring, coaching, and scaling a high-performing support engineering team

  • Ensuring continuous improvement of response times, incident quality, and customer experience

What we expect you to have:

  • Experience building or leading an L3 and escalation support function for datacenter server infrastructure in distributed, multi-region environments

  • Experience supporting enterprise bare metal customers under contractual SLAs

  • Strong incident management leadership experience, including serving as Incident Commander

  • Proven ability to build and formalize incident response, problem management, and cross-team escalation processes from scratch

  • People management experience, including hiring, coaching, and performance management

  • Strong English communication skills, written and verbal

It will be an added bonus if you have:

  • Deep troubleshooting capability across Linux, server hardware, and firmware (BIOS/BMC), with ability to guide investigations at a systems engineer level

  • Strong familiarity with GPU server platforms and common diagnostics (for example: nvidia-smi, dcgmi, Linux log correlation)

  • Experience driving ODM and OEM vendor escalations through support portals and direct channels

  • Scripting skills (bash and basic Python) for troubleshooting and lightweight analytics

  • Exposure to OCP-based hardware platforms

Working conditions:

  • Remote work within the United States

  • Full-time position

Key employee benefits:

  • Health insurance

  • 401(k) plan

  • Paid time off

  • Sick leave

Compensation:
We offer competitive salaries, ranging from $125k–$180k base + quarterly performance bonuses.

What we offer

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Flexible working arrangements.
  • A dynamic and collaborative work environment that values initiative and innovation.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Senior

Salary

Salary: 125k-180k USD

Experience

6 years minimum

Location requirements

Hiring timezones

United States +/- 0 hours

About Nebius

Learn more about Nebius and their company culture.

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At Nebius, we offer an advanced AI cloud platform designed for those who wish to develop, tune, and deploy their AI models with the most efficient infrastructure available. Our platform utilizes cutting-edge NVIDIA GPU clusters, including the H100 and H200, optimized for maximum performance with InfiniBand. One of the standout features of Nebius is our comprehensive fine-tuning ecosystem that includes on-demand GPUs and tools necessary for robust dataset processing, ensuring that AI teams can efficiently manage their computational resources according to demand.

We recognize the importance of AI inference in deploying real-world applications. Hence, we provide a resilient and cost-effective infrastructure that has been optimized for rapid deployment of Generative AI applications. Our services span the entire lifecycle of AI solutions, from model training to inference, making Nebius not just a GPU cloud but a full-stack AI platform. Additionally, we pride ourselves on supporting our clients with 24/7 expert guidance, offering resources to help architects and engineers harness our AI-optimized data centers to build scalable solutions.

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Nebius

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