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# Technical Program Manager – Compute Systems Engineering

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/nebius.md)Share30 Jul 2026Published64Listing views6Application actionsManually reviewedTrust & Safety status  Opportunity details

## About this role.

AI SummaryNebius is seeking a Technical Program Manager for its Compute Systems Engineering organization, which owns the full systems stack for HPC and GPU cloud deployments. The role involves coordinating complex technical programs across hardware and software engineering, cloud operations, and external partners. The TPM will help sustain, scale, and improve operational and software development processes in a fast-moving environment. This position requires deep technical understanding of Linux kernel, KVM, GPU clusters, and high-bandwidth networking. The ideal candidate has 5-10 years of experience and thrives in ambiguous, cross-functional settings.

## 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

4/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThe role requires managing highly complex, multi-team programs involving cutting-edge hardware and software, with high ambiguity and fast-paced innovation. Only seasoned TPMs with deep technical and program management expertise can succeed.

## Salary analysis

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

Estimated job medianMarket rate$165,000US market range$100k–$250k0$275k

AI insightThe offered salary is not specified, but for a senior Technical Program Manager in the US cloud infrastructure market, the typical range is $100k-$250k with a median around $165k. Nebius likely offers competitive compensation including equity, given the company's Nasdaq listing and focus on AI infrastructure.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Technical Program Management](https://jobicy.com/jobs?search_keywords=Technical%20Program%20Management.md)[Compute Systems](https://jobicy.com/jobs?search_keywords=Compute%20Systems.md)[HPC](https://jobicy.com/jobs?search_keywords=HPC.md)[GPU Clusters](https://jobicy.com/jobs?search_keywords=GPU%20Clusters.md)[Linux Kernel](https://jobicy.com/jobs?search_keywords=Linux%20Kernel.md)[KVM/QEMU](https://jobicy.com/jobs?search_keywords=KVMQEMU.md)[Infrastructure Automation](https://jobicy.com/jobs?search_keywords=Infrastructure%20Automation.md)[Cross-functional Collaboration](https://jobicy.com/jobs?search_keywords=Cross-functional%20Collaboration.md)[Risk Management](https://jobicy.com/jobs?search_keywords=Risk%20Management.md)[Cloud Operations](https://jobicy.com/jobs?search_keywords=Cloud%20Operations.md)

Cover letter sampleDear Hiring Team,

I am writing to express my strong interest in the Technical Program Manager role within the Compute Systems Engineering organization at Nebius. With over 7 years of experience managing complex infrastructure programs at scale, I have a proven track record of coordinating cross-functional teams to deliver high-performance computing solutions. My deep understanding of virtualization, GPU clusters, and Linux systems aligns perfectly with the technical challenges described in the job description.

In my previous role at a major cloud provider, I successfully led the bring-up of large-scale GPU clusters, managing dependencies across hardware vendors, software engineering, and operations. I thrive in ambiguous environments and excel at bringing structure and clarity to technically complex programs. I am particularly drawn to Nebius's mission of building a full-stack AI cloud platform and would be excited to contribute to the evolution of the Compute platform supporting next-generation NVIDIA systems.

I look forward to the possibility of discussing how my experience can drive success for Nebius. Thank you for your consideration.

Sincerely,
[Your Name]

Copy   Sample interview questionsDescribe a complex technical program you managed that involved multiple hardware and software dependencies. How did you identify and mitigate risks?I led the deployment of a new GPU cluster spanning two data centers. We had dependencies on hardware delivery, firmware updates, kernel patches, and networking configuration. I created a dependency matrix and risk register, held weekly syncs with all teams, and established clear owners for each milestone. When a vendor missed a delivery date, I escalated early and negotiated a temporary workaround using spare capacity, keeping the program on track.

How do you handle situations where you have incomplete information or ambiguous requirements?

I first identify the key decisions that need to be made and the critical path. I then proactively gather information by talking to subject matter experts, reviewing existing documentation, and running small experiments. I communicate assumptions clearly to stakeholders and set up checkpoints to validate our direction. This approach reduces ambiguity while keeping momentum.

Explain how you would coordinate between hardware engineering, software engineering, and cloud operations teams to bring up a new GPU platform.

I would start by mapping out the end-to-end process from hardware acceptance to production readiness. I'd establish a cross-functional steering committee with representatives from each team, define clear milestones and success criteria, and set up a shared tracking tool. Regular stand-ups and a risk register would help surface issues early. I'd also facilitate integration testing phases where teams can validate their components together.

What metrics do you use to measure the success of a technical program?

Key metrics include on-time delivery of milestones, resource utilization, number of blocking issues and their resolution time, team velocity, and overall program quality (e.g., post-deployment incidents). I also track stakeholder satisfaction through regular surveys and retrospectives to continuously improve processes.

Tell me about a time you had to drive a program that required significant changes to existing processes. How did you get buy-in from the teams?

When our team was growing rapidly, our ad-hoc communication became inefficient. I proposed a structured sprint-based planning process with bi-weekly demos. I engaged key engineers early to co-design the process, ensuring it addressed their pain points. We piloted for one sprint, gathered feedback, and iterated. By showing tangible improvements in visibility and predictability, the team embraced the change.

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.

## About the team

The Compute Systems Engineering organization owns the full systems stack behind Nebius HPC and GPU Cloud deployments. We develop and operate the core components of our virtualization platform— including the Linux kernel, KVM, QEMU, device drivers, and firmware — together with ultra-high-bandwidth, HPC-grade networking, state-of-the-art NVIDIA GPUs, and other cutting-edge hardware.

In less than two years, we have brought up and successfully operated large-scale B300 and H200 GPU clusters for Cloud customers. These deployments comprise tens of thousands of GPUs across multiple data centers in US, UK, France, and other European countries – with hundreds of thousands more GPUs expected to follow.One of our most significant challenges is continuing to evolve and scale the Nebius Compute platform to support NVIDIA’s flagship GB300 systems and upcoming VR200 solutions.

Our organization is responsible for:

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Regularly adapting our systems stack to support the latest hardware platforms and technologies.

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Developing and maintaining performance improvements and customer-facing capabilities – based on both business requirements and engineering needs.

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Building and operating reliable, comprehensive deployment automation and validation processes.

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Ensuring that our systems provide sufficient observability across the entire stack.

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Supporting customers with complex technical issues that prevent them from fully utilizing Nebius Cloud GPU and CPU capacity.

We participate in every major hardware bring-up at Nebius, delivering critical platform enablers and conducting comprehensive system validations. The reliability and performance of Nebius Cloud offerings depend directly on the work of our organization.

## About the role

We are looking for a seasoned Technical Program Manager with approximately five to ten years of relevant experience. You will help us sustain, scale, and continuously improve our operational and software development processes, both within the Compute Systems Engineering organization and across the broader set of teams, partners, customers, and vendors with whom we collaborate.

You will work in a deeply technical and fast-moving environment where successful programs require coordination across hardware and software engineering, infrastructure, cloud operations, customer support, and external technology partners. You will help teams manage complex dependencies, identify and address risks, improve execution, and establish processes that continue to work as the scale and complexity of our infrastructure grow.

This role requires someone who is comfortable operating across organizational boundaries, working with incomplete information, and bringing clarity and structure to technically complex, long-running infrastructure programs.

## What we’re looking for

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Demonstrated ability to coordinate complex technical programs across multiple teams, identify dependencies and risks, establish clear ownership, and drive programs toward measurable outcomes.

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Strong written, verbal, and interpersonal communication skills, with the ability to build and maintain productive cross-functional relationships with engineering teams, business partners, customers, and vendors.

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Relevant technical knowledge and a strong curiosity about how systems work. Our platforms are inherently complex, operate close to the hardware, and contain many moving parts, so the ability to understand technical details and communicate effectively with engineers will be a significant advantage.

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Strong attention to detail, particularly when managing long-running infrastructure programs with numerous technical dependencies, milestones, stakeholders, and operational requirements.

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An open-minded and creative approach to problem-solving. You should be willing to simplify, adapt, replace, or fundamentally redesign existing processes when doing so will improve efficiency, execution, or reliability.

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A hands-on mindset and a willingness to contribute directly when needed. The ability to assist teams with program execution, technical coordination, documentation, process development, issue investigation, or operational improvements will be highly valued.

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Experience working on Cloud computing, high-performance computing, accelerated computing, large-scale infrastructure, or similarly complex engineering programs is a strong plus.

*

Experience with device drivers, the Linux kernel, virtualization technologies, or firmware development and lifecycle-management processes is also a strong plus.

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/149859-technical-program-manager-compute-systems-engineering.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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