Senior Systems Software Engineer, GPU Compute

<div class="content-intro"><p><strong data-stringify-type="bold">Why work at Nebius<br></strong>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.</p> <p><strong>Where we work<br></strong>Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&amp;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&amp;D team.</p></div><h3><strong><span data-contrast="auto">The role</span></strong></h3> <p>We’re looking for a Senior Software Systems Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU &amp; 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><strong>In this position, you will be responsible for:</strong></p> <ul> <li><strong>Tuning the performance</strong>&nbsp;of GPU clusters and InfiniBand networks to&nbsp;ensure optimal operation in HPC and GPU-based environments.
</li> <li><strong>Analyzing and troubleshooting</strong>&nbsp;the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions.
</li> <li><strong>Integrating new hardware</strong>&nbsp;into the existing infrastructure, including&nbsp;support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM.
</li> <li><strong>Enhancing automation systems&nbsp;</strong>for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments.
</li> <li><strong>Configuring and managing GPU devices</strong>&nbsp;and InfiniBand fabrics, ensuring efficient and reliable operation.<strong><br></strong></li> </ul> <p><strong>We expect you to have:</strong></p> <ul> <li>5+ years of professional experience in&nbsp;<strong>system-level software development</strong>&nbsp;(focused on performance optimization, low-level programming).
</li> <li>3+ years of hands-on experience with&nbsp;<strong>Linux systems</strong>&nbsp;(administration, troubleshooting, and performance tuning).
</li> <li><strong>In-depth understanding</strong>&nbsp;of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems.
</li> <li>Strong proficiency in one or more&nbsp;<strong>performance-oriented programming languages</strong>&nbsp;(C/C++, Go, Python).</li> </ul> <p><strong>It would be a plus if you have:</strong></p> <ul> <li>Experience with&nbsp;<strong>GPU end-to-end testing</strong>&nbsp;in a&nbsp;<strong>cluster environment</strong>&nbsp;using InfiniBand networking.
</li> <li>Proven track record of analyzing and optimizing the performance of&nbsp;<strong>HPC workloads</strong>&nbsp;(e.g., simulations, data analysis, AI/ML workloads).
</li> <li>Familiarity with&nbsp;<strong>RDMA, RoCE, and InfiniBand</strong>&nbsp;protocols for high-performance communication.
</li> <li>Background in&nbsp;<strong>Software-Defined Networking</strong>&nbsp;(SDN) and experience with&nbsp;<strong>HPC cluster networking</strong>.
</li> <li>Understanding of&nbsp;<strong>QEMU/KVM virtualization</strong>&nbsp;and managing virtualized environments.
</li> <li>Experience with&nbsp;<strong>deep learning frameworks</strong>&nbsp;such as&nbsp;<strong>PyTorch</strong>&nbsp;and&nbsp;<strong>TensorFlow</strong>, and their integration with HPC systems.
</li> <li>Familiarity with&nbsp;<strong>collective communication libraries</strong>&nbsp;like&nbsp;<strong>MPI</strong>&nbsp;and&nbsp;<strong>NCCL</strong>&nbsp;for distributed computing.&nbsp;</li> </ul> <p>We offer competitive salaries ranging from $170k-$300k + equity based on your experience.</p> <p><span data-ccp-props="{}"><em data-stringify-type="italic">We conduct coding interviews as part of the process.</em></span></p> <p>&nbsp;</p><div class="content-conclusion"><p><strong>What we offer:</strong>&nbsp;</p> <ul> <li>Competitive salary and comprehensive benefits package.</li> <li>Opportunities for professional growth within Nebius.</li> <li>Flexible working arrangements.</li> <li>A dynamic and collaborative work environment that values initiative and innovation.</li> </ul> <p><span data-contrast="auto">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!</span></p> <p><strong>Equal Opportunity Statement:</strong></p> <p>Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.</p> <p>Applicants must be authorized to work in the country in which they apply, and will be required to provide proof of employment eligibility as a condition of hire.</p></div>