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# Technical Project Manager (Hardware)

AI Summary Nebius is seeking a Technical Project Manager to lead server and rack-level production programs for large-scale AI datacenter infrastructure. The role coordinates capacity planning, hardware architecture, procurement, ODM manufacturing, logistics, and deployment to ensure GPU, compute, and storage systems are delivered on schedule. Responsibilities include BOM and component validation, production-order tracking, supplier coordination, risk management, and escalation of factory, quality, licensing, payment, and delivery issues. The successful candidate combines strong server-hardware knowledge with structured program management, vendor negotiation, and ownership across interconnected operational workstreams. Factory visits may be required to support quality control and production recovery.[Apply for this job](#job-application)[View company](https://jobicy.com/company/nebius.md)ShareRemote from[Europe](https://jobicy.com/job-region/europe.md)SalaryUndisclosedDepartment[Project & Program Management](https://jobicy.com/categories/project-management.md)EmploymentFull TimeExperienceOpen levelPublished6 Nov 2026Apply before6 Dec 2026Listing views23Application actions1Application toolkit

## Make your next move.

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Opportunity details

## About this role.

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 Technical Project Manager to own server and rack-level production projects for large-scale AI datacenter infrastructure. This role connects capacity planning, hardware architecture, procurement, ODM manufacturing, logistics, and datacenter deployment teams. You will make sure the right GPU, compute, and storage infrastructure is ordered, produced, delivered, and deployed on time. The role requires strong server hardware knowledge, structured project management, vendor coordination, and high ownership across adjacent work-streams.

Your responsibilities will include:

* Align server and rack requirements with capacity planning and datacenter architecture teams. Translate project demand into hardware inputs for procurement and ODM production.
* Decompose required key parts, including CPUs, memory, drives, NICs, and other critical components. Validate that procured components are compatible with required server configurations.
* Place and track production orders with ODM partners. Coordinate BOM readiness, component availability, and production timelines.
* Manage a portfolio of production projects across multiple projects and vendors. Track risks, blockers, dependencies, and recovery plans.
* Escalate issues early, including BOM problems, shortages, quality risks, factory delays, payment delays, export license issues, and deployment schedule changes. Visit factories when needed to support quality control, production execution, and timeline recovery.
*  Track adjacent processes such as POs, invoices, export licenses, payments, logistics bookings, and required documentation.
* Provide regular production status, risk updates, and decision points to stakeholders.
* Drive issue resolution across planning, procurement, production, testing, logistics, delivery, and deployment.
* Continious improvements after each production cycle. Improve ODM requirements, supplier expectations, internal processes, reporting, and tooling. Gather deployment and operations feedback and convert it into future production improvements.

We expect you to have:

* Experience managing complex hardware production, manufacturing, supply chain, infrastructure, or datacenter delivery projects.
* Strong understanding of modern server architectures, especially high-performance GPU-based environments.
*  Knowledge of server components and ability to configure hardware for different service needs.
* Ability to quickly adapt to new server platforms, components, and technologies.
* Experience working with ODMs, OEMs, factories, hardware vendors, or contract manufacturers.
* Experience with BOMs, component planning, production timelines, and factory execution.
* Strong project management skills, including Gantt charts, milestones, dependencies, and risk tracking.
* Excellent problem-solving skills and ability to work under tight deadlines.
* Strong communication, negotiation, and vendor management skills.
* High ownership, structured thinking, and ability to drive work-streams outside the narrow TPM scope.

It will be an added bonus if you have:

* Basic understanding of GPU infrastructure including diagnostics/troubleshooting of GPU.
* Ability to collect system logs and hardware diagnostics, with a general understanding of BIOS/BMC functionality and their interaction with the operating system and hardware components.

Benefits & Perks:

* Competitive compensation
* Career growth and learning opportunities
* Flexibility and ownership
* 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.

Show more

[Apply now >](https://jobicy.com/jobs/159434-technical-project-manager-hardware.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a highly complex infrastructure delivery role spanning hardware engineering, global manufacturing, supply chain, and datacenter deployment. Tight timelines, component shortages, vendor dependencies, and high-cost GPU infrastructure require proactive risk management and decisive cross-functional leadership.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$140,000US market range (per year)$115k–$170k0$187.00k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. Estimated annual USD market compensation for a senior technical hardware project manager supporting AI datacenter infrastructure is approximately $115,000–$170,000, with an estimated midpoint of $140,000; these are AI estimates, not employer-provided figures.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Technical project management](https://jobicy.com/jobs?search_keywords=Technical%20project%20management.md)[Hardware production](https://jobicy.com/jobs?search_keywords=Hardware%20production.md)[Server architecture](https://jobicy.com/jobs?search_keywords=Server%20architecture.md)[GPU infrastructure](https://jobicy.com/jobs?search_keywords=GPU%20infrastructure.md)[Datacenter deployment](https://jobicy.com/jobs?search_keywords=Datacenter%20deployment.md)[Supply chain management](https://jobicy.com/jobs?search_keywords=Supply%20chain%20management.md)[ODM coordination](https://jobicy.com/jobs?search_keywords=ODM%20coordination.md)[BOM management](https://jobicy.com/jobs?search_keywords=BOM%20management.md)[Vendor management](https://jobicy.com/jobs?search_keywords=Vendor%20management.md)[Procurement coordination](https://jobicy.com/jobs?search_keywords=Procurement%20coordination.md)[Risk management](https://jobicy.com/jobs?search_keywords=Risk%20management.md)[Gantt chart planning](https://jobicy.com/jobs?search_keywords=Gantt%20chart%20planning.md)[Logistics coordination](https://jobicy.com/jobs?search_keywords=Logistics%20coordination.md)[Hardware diagnostics](https://jobicy.com/jobs?search_keywords=Hardware%20diagnostics.md)[Stakeholder communication](https://jobicy.com/jobs?search_keywords=Stakeholder%20communication.md)

Sample interview questionsHow would you manage a critical component shortage that threatens a GPU server production schedule?I would immediately quantify the affected configurations, production dates, and deployment commitments, then establish a cross-functional recovery plan. This would include validating alternate approved components, confirming compatibility with engineering, prioritizing available inventory, obtaining updated supplier commitments, and communicating decision points and residual risks to stakeholders.

What information do you review to confirm that a server BOM is ready for production?

I verify that every part has an approved manufacturer part number, validated compatibility, sufficient supply coverage, pricing and lead-time confirmation, and clear configuration ownership. I also check firmware and platform dependencies, manufacturing instructions, test requirements, substitution rules, and any regulatory or export constraints.

Describe how you would track a portfolio of hardware production projects across multiple ODMs.

I would use a standardized program dashboard with milestones for design freeze, BOM readiness, material availability, factory start, testing, shipment, delivery, and deployment. Each project would include owners, dependency links, risk severity, mitigation actions, supplier commitments, and a clear escalation path, enabling consistent executive status reporting.

How do you balance schedule urgency with hardware quality control?

I define quality gates early and make their exit criteria visible in the master schedule rather than treating testing as an optional final step. When issues occur, I assess customer and operational impact, contain affected units, drive root-cause analysis with the factory and engineering teams, and only use controlled, documented exceptions when the risk is understood and approved.

What is your approach to communicating a factory delay to internal stakeholders?

I communicate the delay early with facts: affected quantities, root cause, revised dates, confidence level, downstream impact, and available recovery options. I present a recommended decision along with trade-offs, assign owners to mitigation actions, and maintain frequent updates until the schedule and risk position are stable.

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