Role Details

Location

Remote - Europe

Salary (est. USD)

~$154K - $242K (est. USD)

Estimated based on role seniority, company stage (Public), and industry benchmarks. Actual compensation may vary.

How is this calculated?

Seniority band Senior / Lead

Base range $140K – $220K

Stage adjustment Public (+10%)

Adjusted range $154K – $242K

Based on Web3 & AI industry compensation data. Seniority is inferred from role title keywords. Company stage affects ranges: early-stage (−15%), late-stage/public (+10%).

Department

System Engineers

Type

Full-time

Vertical

AI Infrastructure

Hiring Manager

Best Guess

Job Description

Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

The role

We’re looking for a Senior HPC Cluster Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You’ll work closely with hardware virtualization and device emulation technologies, ensuring high performance and security in multi-GPU, HPC environments. The role involves analyzing, troubleshooting, and improving infrastructure to support new hardware, fine-tuning system performance, and automating fault detection and resolution in a complex system.

In this position, you will be responsible for:

Tuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments. 
Analyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions. 
Integrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM. 
Enhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments. 
Configuring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation.

We expect you to have:

5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming). 
3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning). 
In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems. 
Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python).

It would be a plus if you have:

Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking. 
Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads). 
Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication. 
Background in Software-Defined Networking (SDN) and experience with HPC cluster networking. 
Understanding of QEMU/KVM virtualization and managing virtualized environments. 
Experience with deep learning frameworks s