Jobs at Nebius

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.

Develop reliable cloud services on the hyperscaler platform, contributing to cloud infrastructure, databases, and monitoring systems. Must write reliable code with team-oriented skills.

The Senior Backend Engineer will develop reliable cloud services, engage in teamwork, and address complex challenges primarily using Golang, Java, and Python.

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

Troubleshoot and resolve complex datacenter server firmware and hardware issues, manage RMAs with vendors, act as escalation SME for L1/L2, create processes and documentation, and improve monitoring, support and training materials.

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

Build and scale core observability services for high-volume telemetry ingestion, distributed storage, query engines, alerting pipelines, and AI-assisted troubleshooting. Work on reliability, performance, and production incident resolution across a cloud AI platform.

The Principal Solutions Architect will lead presales, design AI/ML infrastructures, mentor other architects, and drive customer adoption for Nebius AI cloud solutions.

The Founding Enterprise Customer Success Manager will establish Tavily's customer success function in EMEA, guiding enterprise clients from onboarding to renewal and expansion while collaborating with internal teams and advocating for customer needs.

Build and operate a managed PostgreSQL service for AI workloads: develop control plane and lifecycle automation in Go, tune PostgreSQL internals and ecosystem tooling, create migration tooling, integrate vector search, run SRE practices (SLOs, observability, incident response), and work directly with customers on architecture and escalations.

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.

Serve as the primary technical advisor for strategic GPU cloud customers: troubleshoot complex AI/ML issues, optimize GPU performance, guide deployments at scale, collaborate with sales and product teams, and translate customer needs into product feedback and solutions.

Build and maintain a distributed, fault-tolerant, high-performance block and filesystem storage system. Work on virtualization (virtio-blk, virtio-fs, QEMU, vhost-user), high-throughput VM-to-storage networking (TCP, RoCEv2/RDMA), and core storage features like replication, consensus, self-healing, and data migration. Debug and optimize performance-critical I/O paths while writing reliable, maintainable code in a collaborative team environment.

Serve as primary technical advisor for strategic GPU cloud customers, guiding design, deployment, and scaling of large-scale ML training and inference workloads. Troubleshoot complex AI/ML issues, optimize GPU performance, liaise with sales and product teams, and drive customer-aligned feature requests and solutions.

Work on YDB distributed storage and database systems to maximize performance on modern and legacy hardware (NVMe, HDD, DPUs). Reengineer components for low-latency, high-throughput workloads, profile and debug production systems, and design resilient distributed storage primitives. Collaborate on incident resolution and production deployments to support Nebius cloud services.

Advise AI-focused customers to design scalable AI solutions and manage large-scale GPU deployments. Deliver technical presentations, documentation, and webinars. Collaborate with engineering and product teams to prioritize and convey customer feedback.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

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.

As a UX Writer at Nebius, you'll improve user experience by creating UI copy, collaborating with teams, and developing guidelines.