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System Engineer (Compute Node)

Remote:

Full Remote

Work from:

Europe

Offer summary

Qualifications:

Linux and system-level understanding, Proficiency in Go, C, C++, Experience with Docker and Kubernetes, Knowledge of hardware acceleration.

Key responsabilities:

Build services for managing virtual machines
Enhance the Virtual Machine Scheduler service

Nebius Scaleup https://nebius.com/

201 - 500 Employees

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Job description

About Nebius

Launched in November 2023, the Nebius platform provides high-end infrastructure and tools for training, fine-tuning and inference. Based in Europe with a global footprint we aspire to become the leading AI cloud for AI practitioners around the world.

Nebius is built around the talents of around 400 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius cloud – from hardware to UI – to be built in-house, differentiating Nebius from the majority of specialized clouds. As a result, Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners.

As an NVIDIA preferred cloud service provider, Nebius offers the latest NVIDIA GPUs including H100, L40S, with H200 and Blackwell chips coming soon.

Nebius owns a data center in Finland, built from the ground up by the company’s R&D team. We are expanding our infrastructure and plan to add new colocation data centers in Europe and North America already this year, and to build several greenfield DCs in the near future.

Our Finnish data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 19th most powerful globally (Top 500 list, June 2024). It also epitomizes our commitment to sustainability, with energy efficiency levels significantly above the global average and an innovative system that recovers waste heat to warm 2,000 residential buildings in the nearby town of Mäntsälä.

Nebius is headquartered in Amsterdam, Netherlands, with R&D and commercial hubs across North America, Europe and Israel.

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