
Nebius
Nebius builds a full-stack AI cloud offering GPU compute, storage, and tools for training and deploying ML models for startups, enterprises, and research labs. It sells consumption-based cloud infrastructure (IaaS/PaaS) and managed services tailored to generative AI workloads, including large-scale model training and inference. The company is headquartered in Amsterdam and operates as an independent provider.
Open Positions at Nebius
87 open positions
Customer Engineer supporting strategic GPU Cloud customers across EMEA, helping them design, deploy, troubleshoot, and scale AI/ML workloads. The role combines hands-on cloud and GPU expertise with customer advising, technical presentations, and collaboration with sales and product teams.
Senior Software Engineer building Nebius Token Factory’s large-scale LLM training platform and distributed ML infrastructure. The role focuses on scheduling, scalability, performance, and reliable web services for AI workloads.
Build and scale backend systems for Token Factory, Nebius’s platform for deploying and managing AI workloads at high performance and reliability. You’ll work primarily with Go and Python on distributed systems, cloud infrastructure, and web services.
Build and maintain cloud-native integrations connecting internal and external systems across Microsoft Azure. The role combines API development, workflow automation, identity lifecycle management, data synchronization, and Azure infrastructure deployment.
Join Nebius as an early-career Site Reliability Engineer supporting cloud infrastructure operations and well-defined SRE projects. You’ll gain hands-on experience with production systems, Kubernetes, Linux, Terraform, and cloud operations under experienced mentors.
Build highly reliable, stateful stream-processing pipelines and Go services that turn Nebius product usage events into accurate billing data in near real time. The role owns systems where correctness, failure recovery, scalability, and observability directly affect revenue.
Early-career Frontend Engineer helping build user interfaces for complex cloud infrastructure workflows and shared frontend developer tools. The three-month role offers production ownership across developer services, frontend infrastructure, tooling, and test automation.
Lead strategic customer engagements across the Middle East as a Principal Solutions Architect for Nebius AI Cloud. You will own complex presales, proof-of-concepts, ML infrastructure architectures, and production adoption for enterprise AI workloads.
Support AI-focused customers as a Specialist Solutions Architect by designing scalable cloud and machine learning solutions, solving technical challenges, and guiding large-scale GPU deployments. The role combines customer advisory, technical communication, and collaboration with engineering and product teams.
Senior ML Engineer on Nebius’s Token Factory team, building high-performance inference and fine-tuning infrastructure for large language models across tens of thousands of GPUs. The role focuses on maximizing throughput, minimizing latency, and improving cost efficiency through inference optimization and low-precision computing.
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