Jobs at Nebius

Conduct frontier applied research on efficient AI model architectures, including sparse attention, long-context memory, selective computation, dynamic inference, reasoning, and continual adaptation. Formulate research questions, design rigorous experiments at meaningful scales, develop efficient implementations, publish findings, contribute to open-source tools and models, mentor researchers, and help direct the research stream.

Develop and manage AI and ISV partner business development initiatives for Nebius’s AI cloud platform. The role involves collaborating with partners, managing strategic relationships, and supporting growth across AI infrastructure and cloud services. The posting provides limited specific responsibilities or qualifications, but emphasizes English proficiency and authorization to work in the country of application.

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 model-compression workflows, implement decoding and KV-cache optimizations, create benchmark harnesses, and diagnose bottlenecks across models, kernels, runtimes, schedulers, gateways, and clusters. Collaborate with research, infrastructure, product, kernel, and customer teams.

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 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.

Design, build, and own reliable production data pipelines for analytics and machine learning using Python and SQL. Implement idempotent data processing, transformations, validation, quality checks, and performance optimization. Orchestrate workloads with Airflow or equivalent frameworks, and run them using Docker and Kubernetes. Collaborate with Analytics, Data Science, and ML teams while contributing technical leadership, CI/CD automation, cloud operations, and cost-efficient infrastructure management.

Build and own Nebius’s partner ecosystem across France and Southern Europe, covering AI and ISV partners, systems integrators, resellers, MSPs, and NVIDIA alliances. Recruit and enable partners, develop joint go-to-market and co-sell motions, negotiate agreements, generate pipeline, and deliver channel revenue. The role requires close collaboration with sales, marketing, engineering, product, solutions architecture, and legal teams, plus regular regional travel.

Investigate complex datacenter incidents involving servers, GPUs, firmware, hardware, and Linux. Lead root-cause analysis, identify recurring issues, coordinate evidence-based escalations with R&D and ODM vendors, validate BIOS/BMC firmware rollouts, create troubleshooting runbooks, and improve L1/L2 support capabilities. Travel to datacenters as needed for complex troubleshooting, platform readiness, and incident containment.

Investigate complex datacenter incidents involving servers, GPUs, firmware, BIOS/BMC, Linux, and hardware-software interactions. Lead root-cause analysis, identify recurring issues, coordinate evidence-based escalations with R&D and ODM vendors, validate firmware rollouts, develop runbooks, and improve L1/L2 support capabilities. The role also provides hands-on datacenter troubleshooting and incident support across Europe and the US.

Investigate complex datacenter incidents involving servers, GPUs, firmware, BIOS/BMC, Linux, and hardware-software interactions. Lead root cause analysis, identify recurring patterns, drive escalations with R&D and ODM vendors, validate firmware rollouts, and create durable fixes. Develop runbooks and troubleshooting guides to improve L1/L2 capabilities. Provide hands-on support during critical incidents and travel to datacenters as needed.

Investigate complex datacenter incidents involving servers, GPUs, firmware, hardware, and Linux. Lead root-cause analysis, identify recurring issues, coordinate evidence-based escalations with R&D and vendors, validate BIOS/BMC firmware rollouts, and create runbooks that improve L1/L2 support. The role includes hands-on datacenter troubleshooting, platform readiness, incident leadership, and technical enablement across Europe and the US.

Own the L3 knowledge system for datacenter servers, GPU platforms, firmware, out-of-band management, and Linux diagnostics. Develop and maintain SOPs, runbooks, troubleshooting guides, and error catalogs; capture findings from L3 investigations; validate procedures with support teams; and prepare documentation for new hardware platforms. The role requires hands-on technical expertise, strong Confluence skills, precise technical writing, and occasional datacenter travel.

Owns accounts payable reporting, dashboards, KPI frameworks, and automated workflows. Analyzes AP data to identify trends, anomalies, root causes, and actionable insights. Leads continuous improvement initiatives from problem identification through implementation, coordinating stakeholders, documenting process changes, supporting automation, and tracking outcomes. Partners with the Global AP SME and Finance leadership to align improvements with global standards and business needs.

Owns the deployment, connectivity, troubleshooting, and production operations of APAC data center, colocation, backbone, and transport networks. Responsibilities include building OOB and leaf-spine fabrics, configuring routing and switching, supporting regional connectivity, coordinating global operational handoffs, participating in on-call rotations, documenting procedures, and mentoring incoming engineers. The role requires high autonomy across greenfield sites and collaboration with teams in Europe and the United States.

Design and maintain presentation and customer-facing asset systems, including templates, guidelines, sales materials, PDFs, diagrams, charts, and infographics. Translate complex technology topics into clear, persuasive visual narratives while ensuring brand consistency across high-volume materials. Collaborate with teams, defend design decisions, incorporate feedback, and deliver quickly. Preferred skills include writing, editing, animation, video, Premiere Pro, and After Effects.

Own Nebius’s company-wide KPI framework, headcount planning, and strategic projects. Lead market and competitor assessments, business cases, cross-functional initiative alignment, executive and board reporting, and primary research. Partner with senior leaders, HR, and Finance to support planning, performance management, growth strategy, partnerships, and potential M&A activities in a fast-moving AI infrastructure environment.

Coordinate high-touch executive recruiting processes from engagement through offer. Manage complex interviews across time zones, calendars, candidate communications, travel, debriefs, feedback, and search tracking. Partner closely with executive recruiters, senior leaders, executive assistants, and hiring stakeholders while maintaining discretion, anticipating issues, resolving conflicts, and delivering a polished candidate experience.

Leads compensation programs, including salary structures, job classification, market pricing, pay equity analysis, merit and bonus cycles, financial modeling, reporting, policy development, and HRIS data integrity. Partners with senior HR and Finance leaders, presents compensation recommendations, develops training, ensures regulatory alignment, and improves or automates compensation workflows. The role requires progressive compensation experience, advanced spreadsheet and reporting skills, and strong knowledge of compensation systems.

Leads compensation programs, including salary structures, job classification, market pricing, pay equity analysis, merit and bonus cycles, financial modeling, policies, reporting, and HRIS data integrity. Partners with senior HR and Finance leaders, presents compensation recommendations, develops stakeholder training, interprets regulatory changes, and drives workflow standardization and automation.

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.