System Engineer (Compute Node)

United States Digital Space LLC; Berlin; Vor Ort; EUR 85.000 - 120.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Career growth

Flexibility

International environment

Zusammenfassung

United States Digital Space LLC is seeking a skilled engineer to join the Compute Node team in Berlin. You will build and operate services for managing Virtual Machines running on GPU servers, integrating with disk management and InfiniBand networks, and contribute to the VM Scheduler across data centers.

The role requires Kubernetes experience, proficiency in Go or C++, and strong Linux system-level knowledge.

Qualifikationen

• Experience with Kubernetes for deployment and development is highly valued.
• Familiarity with KubeVirt and QEMU/KVM is a plus.
• Strong knowledge of Linux, OS architecture, and system-level concepts (POSIX, sysfs, system calls, file systems).

Aufgaben

• Develop and operate services to manage VM-based GPU servers and related networks.
• Contribute to the Virtual Machine Scheduler across multiple data centers and regions.
• Collaborate with hardware, software, and AI R&D teams to optimize performance.

Kenntnisse

Kubernetes

Go

C++

Linux

QEMU/KVM

KubeVirt

POSIX

GPU/DPUs

Concurrency

Tools

Docker

KubeVirt

QEMU

NVIDIA DOCA

Jobbeschreibung

About the company:

the company 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

The Compute Node team builds services for managing Virtual Machines running on GPU servers, integrating with disk management, virtual and InfiniBand networks. The team is also responsible for developing the Virtual Machine Scheduler that operates across clusters with thousands of servers and tens of thousands of GPUs, spanning multiple data centers in several regions.

We expect you to have:

1. Containerization & Orchestration

• Experience with Kubernetes not only for deployment but for development is highly valued.

2. Virtualization

• KubeVirt and QEMU/KVM familiarity is a high plus.

3. Linux \& System-level Understanding

• Solid knowledge of internal OS architecture, performance considerations, process isolation and resource management.
• Knowledge of POSIX, sysfs, system calls, and file systems.
• Familiarity with server architecture, PCIe devices, NICs, and kernel drivers.

4. Hardware Acceleration

• Experience or strong interest in working with GPUs, DPUs, or ARM architectures is desirable.
• Familiarity with the NVIDIA DOCA Software Framework will be an advantage.

5. Go, C++ Proficiency

• Knowledge of at least one of these languages, ready to learn or work with the others as needed.
• Strong grasp of concurrency, debugging, and profiling techniques.

*We conduct coding interviews as part of the process.*

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 the company:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement:

the company 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.