Jobs at Nebius

Own the vision and backlog for Nebius storage services (block, file, parallel/HPC, object). Define technical requirements (data paths, consistency, replication, erasure coding), make performance/durability trade-offs, coordinate cross-team initiatives, and ensure storage meets durability, availability, scalability, and cost targets for AI/ML and HPC workloads.

Own operational readiness and health of Nebius COLO and BTS data centers: enforce SLAs, coordinate maintenance and audits, manage landlords and vendors, partner with IT on deployments and incidents, build dashboards and reporting, and track contractual operational obligations across multiple sites.

Lead development of data center and AI infrastructure projects from executed agreement through construction readiness. Own roadmaps, schedules, budgets, risk registers, permitting, utility coordination, and stakeholder alignment. Deliver development-ready projects to Delivery with complete documentation, readiness gates, and minimized risk while building repeatable standards and governance for future projects.

Lead multidisciplinary technical due diligence for powered land, build-to-suit, and data-center infrastructure. Define scopes, procure and manage consultants, evaluate geotechnical, environmental, utility, and entitlement risks, quantify commercial impacts, recommend mitigations, and present technical recommendations to support acquisition and development decisions. Build repeatable due-diligence standards, playbooks, and a trusted consultant network.

Analyze and administer compensation programs including market pricing, salary structure maintenance, job classification, pay equity analysis, budgeting for merit/bonus cycles, HRIS data audits, reporting, policy documentation, and training HR and managers.

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.

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.

Manage server and rack-level production projects for AI datacenter infrastructure, overseeing procurement, vendor coordination, and logistics for timely deployment.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

The Site Selection & Colocation Manager oversees site selection for data centers, involving market analysis, due diligence, vendor management, and cross-functional collaboration.

Serve as the technical partner interface to design, build, and maintain integrations and reference implementations between Nebius and strategic partners. Architect enterprise-ready solutions for GPU-accelerated AI/ML workflows, enable partner teams with docs and demos, influence product roadmap, and provide technical leadership for complex joint deployments and troubleshooting.

Lead data-visualization and dashboard design for Nebius Platform and Grafana. Partner with product managers and engineers to create scalable observability interfaces, define best practices, maintain the design system, and contribute to other compute service UIs as needed.

Lead research on model architectures to improve attention, memory, and efficiency. Design and run experiments at scale, develop methods to reduce training/inference cost, collaborate with engineering for implementation, publish and open-source work, and mentor other researchers to shape the research direction.

Design and develop services for automating work with a large server fleet while engaging in DevOps processes.

The System Engineer will develop services for managing GPU virtual machines, enhance Virtual Machine Scheduler, and ensure efficient system performance.

The role involves leading the mk8s Core Team, managing technical projects, coaching engineers, and participating in hands-on coding and incident response.

Design and develop services for monitoring servers, improve metrics pipelines, automate maintenance workflows, and investigate incidents to ensure infrastructure reliability.

The Senior Hypervisor Engineer will develop the hyperscaler platform, optimize I/O for devices, enhance guest support, and improve virtualization performance in collaboration with the open-source community.

Develop and optimize a data plane for cloud network services, improving performance, scalability, and reliability while automating cross-service interactions.

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