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Senior Software Engineer (Capacity and Quota Management)

NebiusBerlin
Full-time3-7
👁️ 5 views📝 0 applicationsPosted 8/16/2026Expires 9/16/2026
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Job Description

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 are looking for a Senior Software Engineer to join the team building the Capacity and Quota Management control plane — the system that decides who gets compute, when, and how much. Idle GPUs are waste. Overallocated ones are a contract you can't keep. Our platform consists of two core components: a capacity reservation engine managing guaranteed GPU reservations and their lifecycle, including rebalancing and auto-reclamation logic; and a Quotas Control Plane that manages quotas across all Nebius services, handles customer quota requests, and runs the algorithms that distribute resources. Both are exposed through APIs that give external customers, internal users, and downstream services visibility and control over their limits. This is a high-ownership role. You will define how Capacity and Quota Management matures, from the technical foundations to the tradeoffs that outlast any single feature. We expect you to have: <ul class="ak-ul" data-local-id="b1

Required Skills

Distributed SystemsCapacity PlanningResource AllocationQuota ManagementAPI DesignGPU OrchestrationCloud InfrastructureCompute ManagementStorage ManagementNetworking ManagementLifecycle ManagementAuto-reclamation LogicRebalancing AlgorithmsAI/ML InfrastructureInference OptimizationHardware ExpertiseSoftware EngineeringAI R&D

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