Nebius is a Nasdaq-listed tech company that aims to become one of the world’s leading AI infrastructure providers. Headquartered in Amsterdam, we have R&D and commercial hubs across the US, Europe and Israel.
We build full-stack AI infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms and tools and services for developers. Our 500 employees include around 400 highly skilled engineers with a proven track record of developing world-class hardware and software solutions across cloud and AI/ML.
We are rapidly growing our infrastructure network with an ambitious investment program to build out data centers and colocations in the US and Europe. A Reference Platform NVIDIA Cloud Partner, Nebius’ AI-native cloud platform provides high-end infrastructure and tools for training, fine-tuning and inference.
Nebius is growing fast, and we’re always looking for the best talent to join our company. Along with highly competitive compensation and extensive opportunities for professional development, we offer a dynamic work environment where innovation, creativity and teamwork are highly prized and open up exciting new opportunities. As an equal opportunity employer, we are committed to fostering a diverse and inclusive workplace, where all applicants are given fair consideration and every team member is empowered to contribute to their fullest potential.
The role
We’re looking for a system engineer (Go, C, C++, Linux) to join our Compute Node development team. The team builds services for managing virtual machines running on GPU servers, integrating with disk management, virtual networking and InfiniBand network systems. In addition to virtualization, we develop the Compute Managed Bare-Metal service, which provides users with dedicated GPU servers featuring virtual networking, disks and storage.
The team is also responsible for managing and enhancing the Virtual Machine Scheduler service in clusters that include thousands of servers and tens of thousands of GPUs, all interconnected by a high-performance network.
We expect you to have:
1. Linux and 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.
2. Hardware acceleration
- Experience (or interest) in working with DPU, GPU and ARM architectures.
3. Go, C, 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.
- Familiarity with the NVIDIA DOCA Software Framework is a plus.
4. Containerization and orchestration
- Experience with Docker, LXC, Kubernetes or similar solutions for development and deployment is highly valued.
5. Virtualization
- QEMU/KVM familiarity is a plus for working with virtualized environments and related tooling.
What we offer
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Hybrid 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!
Top Skills
What We Do
Cloud platform specifically designed to train AI models
