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Build and maintain the reliability, observability, and performance of Nebius’s AI inference platform, ensuring seamless operation under extreme load while optimizing GPU workloads and Kubernetes clusters.
Builds and optimizes large-scale indexing and data processing pipelines for an AI-native search engine, handling tens of gigabytes per second of real-time data to support agentic AI retrieval systems.
Builds and optimizes a low-latency search engine runtime that serves AI agents in real time, using C++ or Rust and cloud infrastructure.
Senior engineer builds and operates a managed PostgreSQL service optimized for AI workloads, including vector search and migrations, using Go and PostgreSQL internals.
Build and maintain a large-scale LLM training platform using Python and Go, optimizing distributed systems for AI workloads on Nebius’s cloud infrastructure.
Senior engineer builds and optimizes the high-performance network data plane for a global AI cloud platform, handling tens of millions of packets per second with C/Go/C++ and Linux networking.
Senior engineer on the Virtual Private Cloud team building and operating the core networking layer for a cloud platform that powers AI workloads, using C/C++/Go and Linux networking.
Senior Technical Program Manager at Nebius leads end-to-end delivery of GPU clusters and AI infrastructure, coordinating engineering, networking, construction, and operations teams to launch hyperscale data centers globally.
Leads cross-team automation projects to streamline hardware operations in a cloud AI infrastructure company, coordinating engineering, operations, and infrastructure teams to reduce manual effort at scale.
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through…
Principal Applied AI Researcher builds agent-native search systems for AI agents, designing retrieval and ranking architectures optimized for machine consumption at scale.
Design and build automation platforms that manage large-scale server fleets for a cloud provider specializing in AI infrastructure, using Python or Go.
Build and maintain low-level monitoring, alerting, and automation systems for Nebius's global AI cloud infrastructure, ensuring reliability and observability across thousands of servers and data center systems.
Builds and optimizes cloud services for managing virtual machines on GPU servers, including Kubernetes-based orchestration, KubeVirt/QEMU virtualization, and system-level Linux performance tuning for AI workloads.
Own the product direction for Soperator, Nebius's Slurm-on-Kubernetes control plane for GPU clusters, shaping how ML engineers run and scale distributed AI workloads using cloud infrastructure and orchestration tools.
Owns and delivers a workstream within large-scale data center and GPU infrastructure programs, coordinating cross-functional teams and tracking progress for AI cloud deployments.
Technical Project Manager leading cross-team initiatives to build and deliver IaaS cloud infrastructure for AI workloads, coordinating compute, networking, storage, Kubernetes, and APIs.
Oversee security-focused cloud infrastructure projects, coordinating cross-team efforts to implement and deliver security programs for an AI cloud platform.
Technical Project Manager plans and oversees AI cloud infrastructure deployments in data centers, coordinating GPU servers, high-speed networks, and storage systems across multiple locations.
Technical recruiter sources, screens, and hires engineers for a cloud AI platform company, using LinkedIn and ATS tools to build pipelines across Europe and the UK.
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