Senior HPC Engineer, GPU Compute

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role

We’re looking for aSenior HPC Cluster Engineerto join our team and play a key role in the development of our cutting-edge hyperscaler platform. TheGPU & InfiniBand teamis responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus onGPU computing,InfiniBand networks, and theKVM/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 toensure 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, includingsupport 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 insystem-level software development (focused on performance optimization, low-level programming).
• 3+ years of hands-on experience withLinux 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 moreperformance-oriented programming languages (C/C++, Go, Python).

It would be a plus if you have:

• Experience withGPU end-to-end testing in acluster environment using InfiniBand networking.
• Proven track record of analyzing and optimizing the performance ofHPC workloads (e.g., simulations, data analysis, AI/ML workloads).
• Familiarity withRDMA, RoCE, and InfiniBand protocols for high-performance communication.