{"id":2243302,"url":"https://alion.io/job/nebius-senior-hpc-cluster-engineer","title":"Senior HPC Cluster Engineer","company":{"id":6364,"name":"Nebius","domain":"nebius.com","url":"https://alion.io/company/nebius","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":135,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Madrid, Spain","United Kingdom"],"countries":["ES","GB"],"hiring_countries":["DE","FR","GB","AT","BE","BG","HR","CZ","DK","FI","HU","IE","IT","NL","NO","PL","RO","ES","SE","CH","EE","GR","IS","LV","LI","LT","LU","MT","PT","SK","SI"],"hiring_countries_total":31,"salary":null,"salary_estimate":{"min_usd":97000,"max_usd":219000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":6708},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Fine-tuning","optional":false},{"name":"HPC","optional":false},{"name":"InfiniBand","optional":false},{"name":"Kubernetes","optional":false},{"name":"KVM","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"QEMU","optional":false},{"name":"C","optional":true},{"name":"MPI","optional":true},{"name":"NCCL","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true}],"status":"live","first_seen_at":"2025-03-14T19:10:34Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-12T06:25:33Z","board_verified":true,"closed_at":null,"days_open":576,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":576},"description":"About Nebius:\nNebius 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.\nBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\nListed 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.\nThe role\nWe’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.\nIn this position, you will be responsible for:\nTuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments. \nAnalyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions. \nIntegrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM. \nEnhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments. \nConfiguring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation.\n\nWe expect you to have:\n5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming). \n3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning). \n In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems. \nStrong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python).\nIt would be a plus if you have:\nExperience with GPU end-to-end testing in a cluster environment using InfiniBand networking. \nProven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads). \nFamiliarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication. \nBackground in Software-Defined Networking (SDN) and experience with HPC cluster networking. \nUnderstanding of QEMU/KVM virtualization and managing virtualized environments. \nExperience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with HPC systems. \nFamiliarity with collective communication libraries like MPI and NCCL for distributed computing. \nWe conduct coding interviews as part of the process.\n#LI-LH2\nBenefits & Perks:\nCompetitive compensation\nCareer growth and learning opportunities\nFlexibility and ownership\nCollaborative and innovative culture\nOpportunity to work on impactful AI projects\nInternational environment and talented teams\nWhat's it like to work at Nebius:\nFast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI \nEqual Opportunity Statement:\nNebius 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. 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