RolepaperAbout this opening
<div class="content-intro"><p><strong>About Nebius:</strong></p> <p>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.</p> <p>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.</p> <p>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.</p></div><h3><strong><span data-contrast="auto">The role</span></strong></h3> <p>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.</p> <p> </p> <p><strong>In this position, you will be responsible for:</strong></p> <ul> <li><strong>Tuning the performance</strong> of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments. </li> <li><strong>Analyzing and troubleshooting</strong> the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions. </li> <li><strong>Integrating new hardware</strong> into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM. </li> <li><strong>Enhancing automation systems </strong>for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments. </li> <li><strong>Configuring and managing GPU devices</strong> and InfiniBand fabrics, ensuring efficient and reliable operation.<strong><br></strong></li> </ul> <p> </p> <p><strong>We expect you to have:</strong></p> <ul> <li>5+ years of professional experience in <strong>system-level software development</strong> (focused on performance optimization, low-level programming). </li> <li>3+ years of hands-on experience with <strong>Linux systems</strong> (administration, troubleshooting, and performance tuning). </li> <li><strong>In-depth understanding</strong> of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems. </li> <li>Strong proficiency in one or more <strong>performance-oriented programming languages</strong> (C/C++, Go, Python).</li> </ul> <p> </p> <p><strong>It would be a plus if you have:</strong></p> <ul> <li>Experience with <strong>GPU end-to-end testing</strong> in a <strong>cluster environment</strong> using InfiniBand networking. </li>