Senior HPC Engineer, GPU Compute
# Senior HPC Engineer, GPU Compute **Nebius** · Berlin · `On-site` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Arbeitnow (Германия и EU)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[System Engineers]` --- ### About the Role 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 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 such as PyTorch and TensorFlow , and their integration with HPC systems. - Familiarity with collective communication libraries like MPI and NCCL for distributed computing. We conduct coding interviews as part of the process. #LI-LH2 Benefits & Perks: - Competitive compensation - Career growth and learning opportunities - Flexibility and ownership - Collaborative and innovative culture - Opportunity to work on impactful AI projects - International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: 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. If you need accommodations during the application process, please let us know. Find Jobs in Germany on Arbeitnow
- System Engineers
Наблюдалась 2026-09-28, впервые 2026-09-28, источник — Arbeitnow (Германия и EU).