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    Job · 10934246

    Nebius logo

    Senior Software Engineer (Capacity and Quota Management)

    Nebius · Remote · remote · Posted 71d ago

    Not disclosed5+ yrsfulltimeSourced fromGreenhouse

    About a minute. You'll make an account on the way through.

    About this 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 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:

    5+ years of professional software engineering experience

    Strong knowledge of Python or willingness to quickly become productive with our technology stack

    Experience building distributed backend systems and microservice architectures

    Understanding of distributed transactions, consistency models, and reliable asynchronous workflows

    Strong communication and ownership mindset

    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:

    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.

    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.

    Sourced from greenhouse

    Skills

    Python

    About Nebius

    Nebius logo

    Nebius

    Amsterdam

    NL

    About

    Nebius AI is an AI cloud infrastructure company that provides full-stack computing services and platforms. Nebius AI is an AI-centric public cloud platform, launched in late 2023 and specifically crafted to serve AI models from ML training to inferencing at a scale. Our mission is to enable ML practitioners to concentrate on their core job while DevOps, MLOps and infrastructure related tasks are on us. Our goal is to build an ML-specific cloud platform covering the whole ML lifecycle from A to Z: from data preparation and data labeling to ML training and inference.

    Industries

    AI InfrastructureCloud InfrastructureGPUIaaSPaaS

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