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 Senior HPC Cluster Engineer to contribute to the development of our hyperscaler platform.
The Hypervisor team supports and develops the parts of the Cloud platform that directly affect the KVM hypervisor and QEMU device emulator. We understand the granular details of hardware virtualization and device emulation, paying close attention to performance and protection against untrusted code.
In this position, your responsibility will be to:
- Improve infrastructure around GPU-accelerated computing
- Analyze root cause and suggest corrective action for problems large and small scales
- Add new hardware support through all infrastructure software stack
- Detect and fix problems before they occur
We expect you to have:
- 5+ years of professional software development experience
- 3+ years of experience with Linux
- System level understanding of server architecture, PCIe devices, NICs, Linux OS and kernel drivers
- Strong knowledge in any performance programming languages (C, C++, Go, Java, Python)
It would be an added bonus if you had:
- Experience analyzing and tuning performance for a variety of HPC workloads
- Familiarity with RDMA, RoCE, Infiniband
- Background with Software Defined Networking and HPC cluster networking
- Understanding of QEMU/KVM virtualization stack
- Familiarity with deep learning frameworks like PyTorch and TensorFlow
- Familiarity with collective communication libraries (MPI, nccl)
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
