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
Nebius is looking for a System Engineer (Servers Hardware R&D Team). You're welcome to work in our offices in Amsterdam.
Key Responsibilities:
- Participate in the design, deployment, and maintenance of high-performance cloud systems tailored for AI workloads.
- Troubleshoot and resolve complex system issues related to GPUs, networking (InfiniBand, NVLink), PCIe, and server infrastructure.
- Conduct deep investigations into hardware, software, and networking problems to ensure optimal system performance and reliability.
- Develop tests and test methodologies for advanced GPU, InfiniBand, and Compute systems to benchmark and validate performance.
- Collaborate with cross-functional teams to improve system performance and reliability.
- Monitor system performance and continuously fine-tune configurations for maximum efficiency.
- Participate in research of new technologies for future development and application in AIcentric cloud systems.
Required Skills & Qualifications:
- Strong knowledge of modern server architecture, especially in high-performance GPU-based environments.
- Hands-on experience with GPUs, InfiniBand, NVLink, and PCIe.
- Proficient in Linux systems, with expertise in Python and Bash scripting for automation.
- Demonstrated ability to troubleshoot complex system issues, including hardware, software, and networking problems.
- Experience with deep problem investigation, root cause analysis, and resolving performance issues in cloud-based or high-performance computing environments.
- Strong analytical and problem-solving skills, with a focus on optimizing system performance.
Nice to Have:
- Experience with C/C++ programming.
- Knowledge of the Linux kernel and experience with kernel-level troubleshooting.
- Familiarity with containerization technologies (e.g., Docker, Kubernetes) in GPU-accelerated environments.
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!
What We Do
Cloud platform specifically designed to train AI models
