Jobs at Nebius

Owns Nebius’s global third-party logistics warehouse network and partner performance. Manages contracts, SLAs, operational standards, inventory accuracy, audits, compliance, costs, incident resolution, onboarding, exits, and continuous improvement across external warehouses. Coordinates with logistics, transport, planning, IT, security, procurement, legal, and project teams while leading 3PL specialists and conducting regular site visits.

Develop and deploy machine learning models for retrieval, reranking, indexing, search relevance, crawling, and content understanding. Build large-scale embedding and retrieval systems, evaluation pipelines, and quality metrics for agent-native search. Integrate models into high-throughput production services while balancing latency, quality, and cost. Collaborate on architecture and product decisions involving search, retrieval, and LLM-based systems.

Design and implement large-scale browser-based rendering infrastructure to execute and extract structured content from JS-heavy web apps. Improve rendering quality, performance, cost, and throughput at internet scale and productionize rendering research.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.

The Detection and Response Lead role is presented without specific responsibilities or qualifications. The position appears related to security detection and incident response within Nebius’s AI cloud infrastructure environment. Candidates should be authorized to work in the country where they apply and should expect coding interviews as part of the hiring process.

Own the vision, roadmap, and backlog for commercial agreements and pricing mechanics in Nebius’s billing platform. Design billing capabilities, develop revenue-driving pricing models, productize recurring enterprise deal patterns, and partner with Sales, Finance, Legal, Operations, and Engineering. Lead discovery, requirements, delivery, documentation, enablement, and success metrics while modeling revenue and margin impacts.

Lead the global employee relations and performance management strategy, including policies, governance, complex case oversight, investigations, disciplinary and grievance processes, and organizational change consultation. Build effective works council and employee representative relationships, manage employment-law and reputational risks, advise senior leaders, strengthen manager capability, and use case data to identify trends and improve organizational practices.

Lead a Platform Experience product group to define vision, strategy, and metrics; manage and grow PMs; create a consistent API-first developer experience across CLI, SDKs, Terraform and docs; reduce time-to-first-value from PoC to production; evolve quotas, capacity and multi-tenant resource models; and unify customer notifications and communications.

Develop and optimize GPU clusters and InfiniBand networks for hyperscale HPC environments. Responsibilities include troubleshooting hardware and infrastructure issues, integrating new GPUs through Kubernetes, QEMU, and KVM, managing GPU devices and InfiniBand fabrics, tuning performance, and improving automated monitoring and fault resolution.

Own production optimization of LLM and VLM inference systems, improving latency, throughput, memory efficiency, GPU utilization, quality, reliability, and cost. Deploy and benchmark inference engines, build compression and quantization workflows, implement acceleration techniques, diagnose serving bottlenecks, and collaborate with kernel, platform, research, product, and customer teams.

Own end-to-end infrastructure delivery for strategic physical AI customers, from discovery and architecture through production rollout. Build cloud compute orchestration, platform services, onboarding environments, observability, security, and cost controls for simulation, training, inference, and batch workloads. Debug across infrastructure layers, productize recurring customer needs, and shape the physical AI platform roadmap. Partner with customers, Field CTO, Product, and Engineering while using AI coding tools to accelerate production engineering.

Own the design, delivery, and operation of complex data pipelines, datasets, and platform components. Translate business needs into scalable data models and reliable data products, improve data quality and observability, resolve production issues, and establish reusable engineering tools and standards. Collaborate with product and business stakeholders, contribute to architecture decisions, mentor engineers, and participate in on-call support.

Own and administer Nebius’s identity and access environment, centered on Microsoft Entra ID and Microsoft 365, with supporting Google Cloud identity services. Manage authentication, conditional access, application integrations, provisioning, lifecycle automation, privileged access, licensing, and governance. Troubleshoot identity incidents, SAML/OIDC/SCIM failures, and Microsoft 365 access issues. Build production-grade PowerShell and cloud workflow automation with logging, retries, documentation, and secure credential management.

Develop and maintain API-based integrations and cloud-native Azure services. Build workflow automation, identity lifecycle processes, data synchronization, CI/CD pipelines, and Terraform infrastructure. Troubleshoot APIs, Azure services, and data sources while documenting integrations and scripts. The role requires Python or C#, Azure integration expertise, secure authentication knowledge, relational database experience, and familiarity with deployment automation.

Drive cloud capacity expansion across data centers by analyzing resource consumption, forecasting demand, identifying risks, and translating forecasts into infrastructure requirements. Coordinate procurement, hardware delivery, installation, deployment, and customer availability across supply chain, data center, engineering, product, and business teams. Maintain expansion plans, communicate timelines and dependencies, and proactively resolve cross-functional issues.

Lead connectivity lifecycle for data center and PoP sites: assess site feasibility, design fiber pathways and POE/MMR layouts, manage carrier relationships and commercial negotiations (IRUs, leases), maintain geospatial/fiber documentation (KMZ/KML), and coordinate cross-functional delivery with procurement, construction and engineering teams across the region.

Lead and coordinate complex, cross-functional compute hardware and software programs (kernel, virtualization, drivers, firmware, GPUs). Manage dependencies, risks, execution, deployment automation, validation, observability, and customer/vendor interactions to scale large GPU/HPC cloud infrastructure.

Design, implement, and operate the Virtual Private Cloud control and data planes. Improve performance, reliability, automation, and cross-service interactions. Develop networking features, perform load testing, and write high-performance code for cloud networking services.

Lead hands-on applied AI work: prototype demos, accelerate customer POC-to-production, perform technical onboarding, optimize distributed training and inference on GPU infrastructure, research and implement emerging ML techniques, and feed actionable product feedback while producing reusable assets and benchmarks.

Lead reliability and observability for compute nodes running VMs. Debug Linux user/kernel issues, troubleshoot CPU/memory/NUMA/cgroups, operate QEMU/KVM and container tech, design node-level metrics/logs/traces/SLIs/SLOs, run incident response and collaborate across platform, kernel, GPU and infrastructure teams.