Jobs at Nebius

Own optimization of LLM and VLM inference systems from model artifacts through production deployment. Improve latency, throughput, memory efficiency, GPU utilization, quality, reliability, and cost per token. Deploy and extend inference engines, build compression and quantization workflows, implement decoding and KV-cache optimizations, create reproducible benchmark harnesses, diagnose production regressions, and collaborate with kernel, platform, research, infrastructure, product, and customer teams.

Own the product strategy and roadmap for large-scale search infrastructure serving AI agents. Set search quality and release standards, manage depth, latency, freshness, and cost tradeoffs, guide index coverage, and shape retrieval capabilities for agentic workflows. Partner with search engineering, research, evaluation, data, customer success, and customers to identify quality gaps and prioritize improvements. This hands-on senior individual contributor role requires experience building and shipping production search or ranking systems at scale.

Own enterprise sales across the UK and Nordics, managing the full cycle from prospecting and pipeline creation through complex deal closure. Build regional presence through outbound sales, partnerships, events, and networks; engage technical, business, and executive stakeholders; apply MEDDPICC and value-based selling; collaborate with product and engineering; exceed revenue targets and provide accurate forecasts.

Own the vertical search product from market selection and data-provider evaluation through roadmap, customer discovery, specifications, launch, adoption, and revenue. Partner with engineering, data, research, evaluation, customer success, and go-to-market teams to build industry-specific AI search products. Define use-case quality standards, shape ranking and product experiences, and prioritize investments across verticals.

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.

Serve as embedded internal controls and risk partner for corporate functions (Tax, Treasury, HR). Lead SOX walkthroughs, risk assessments, control design, remediation, audit coordination, and automation efforts to improve control effectiveness and reporting. Support transformations, system implementations and stakeholder engagement to balance risk mitigation with operational practicality.

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.

Lead applied research and system design for agent-native search: develop multi-stage retrieval, ranking, and grounding methods for LLMs working with real-time web data; define evaluation paradigms; optimize relevance, latency, and cost; deploy solutions to production and mentor the engineering team.

Design, train, and deploy retrieval, reranking, and relevance ML models for a production agent-native search platform. Build embedding-based indexing and large-scale retrieval systems, define evaluation metrics and pipelines, optimize latency/quality/cost trade-offs, and collaborate with engineers to integrate models into 24x7 production services.

Support IT operations across multiple datacenters, focusing on hardware and firmware troubleshooting, process improvement, and collaboration with R&D. Travel for hardware projects is required.

Maintain and scale DevTools SRE systems: improve user-facing developer workflows, build fault-tolerant self-healing architecture, optimize performance, modify open- and closed-source tools (GitLab, TeamCity), and support users while measuring improvements via metrics.

Design and implement core YTsaurus functionality in C++, build and evolve platform-level capabilities, improve APIs and UX for internal users, own production quality including incident response/on-call, and collaborate with stakeholders to prioritize and deliver scalable data platform features.

Provide IP and IT legal support: review and draft license and SaaS agreements, manage IP outsourcing and software licensing, advise on open-source compliance, collaborate with commercial teams on IP terms, and handle trademark and other IP issues.

Design, build, and operate Nebius Serverless AI core components (control plane, scheduler, runtime, autoscaler, APIs). Solve cold-start latency, GPU scheduling, multi-tenant isolation, routing. Drive architecture, write design docs, raise engineering standards, run SRE practices, lead incident response, and work with customers and product teams to deliver a scalable, low-latency platform.

Drive complex VPC and cloud-networking programs from goals to production: define outcomes, expose dependencies, manage risks and schedules, coordinate cross-team delivery, validate rollouts, and ensure operational readiness.

Design, implement, and operate internet-scale crawling and ingestion systems. Build URL discovery, deduplication, scheduling, and extraction pipelines. Ensure high-throughput, reliable operation, monitor coverage/freshness/quality metrics, manage resource usage and costs, and collaborate with indexing and ML teams to meet retrieval requirements.

Manage and lead IT support teams in data centers, overseeing maintenance, incident resolution, and support processes for GPU clusters and IT infrastructure.

Responsible for tuning GPU cluster performance, troubleshooting InfiniBand networks, integrating hardware, enhancing automation, and managing GPU devices in HPC.

The Senior Hypervisor Engineer will optimize I/O for virtual machines, integrate hypervisors with platform services, enhance system support, and improve security for QEMU/KVM virtualization.

The Senior Site Reliability Engineer will ensure fault-tolerance and uninterrupted operations, using innovative cloud technologies, alongside improving CI/CD processes.