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Troubleshoot and resolve data center hardware issues, manage RMA processes, and improve IT infrastructure support for a cloud platform serving the AI economy.
On-site IT Infrastructure Engineer troubleshoots enterprise server hardware, performs firmware diagnostics, and manages RMA processes to ensure data center reliability for a cloud AI platform company.
Solutions Architect at a cloud platform company, advising enterprise AI customers on deploying and scaling GPU workloads for ML training and inference using Nebius’s AI cloud services.
Maintain and troubleshoot IT infrastructure in a cutting-edge AI cloud data center, including server hardware, networking, and fiber optics, with shift work and on-call duties.
L2 IT technician troubleshoots and resolves hardware issues in Nebius' datacenters, supporting AI cloud infrastructure with Linux, monitoring, and network basics.
Install, configure, and maintain physical security systems (CCTV and access control) across European sites, validate deployments, and ensure systems meet security standards.
Build and scale security automation workflows for a cloud AI platform, integrating SIEM/EDR tools and SOAR platforms using Python and APIs to reduce manual SOC tasks.
Builds and scales backend systems for a cloud platform that deploys and manages AI workloads, using Go and Python to support high-performance inference and distributed infrastructure.
Oversee the end-to-end construction and commissioning of AI-focused data centers in New Jersey, ensuring regulatory compliance, operational readiness, and energy efficiency.
Senior Data Center Technician maintains and troubleshoots large-scale cloud infrastructure in a 24/7 environment, ensuring power, cooling, and hardware reliability for AI cloud services.
Designs and implements embedded firmware for GPU and HPC platforms, focusing on board management, telemetry, and hardware-firmware integration in high-density, mission-critical environments.
Senior ML Engineer builds and optimizes low-level GPU inference kernels and runtime components for a large-scale AI cloud platform, focusing on performance tuning and hardware integration.
The Senior ML Solutions Architect will help customers design and implement optimized LLM inference and fine-tuning workflows using the Nebius Token Factory platform. This role involves architecting scalable AI applications, providing technical expertise in RAG and prompt engineering, and collaborating with internal engineering teams to improve the platform.
Design and operate high-performance data center networks for AI workloads, focusing on CLOS fabrics, routing, and switching in a global cloud infrastructure company.
Nebius is seeking a Senior Sales Engineer to act as a technical partner for customers using their AI inference platform. The role involves leading technical discovery, validating PoC architectures, and ensuring that customer AI workloads are scalable and economically viable on their GPU-backed infrastructure.
Senior Site Reliability Engineer at Nebius to maintain and scale DevTools infrastructure (CI/CD, monorepos, artifact storage) while improving system reliability and user experience for an AI cloud platform.
Senior Site Reliability Engineer at Nebius, an AI cloud platform company, responsible for ensuring fault-tolerance, scale, and uninterrupted operations using cloud technologies, CI/CD, and infrastructure tools like Kubernetes and Terraform.
Senior Site Reliability Engineer responsible for ensuring the reliability and performance of compute nodes running virtual machines in a cloud AI platform, using Linux systems, virtualization (QEMU/KVM), and observability tools.
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.
Build and maintain a distributed data platform (YTsaurus-based) in C++ to power AI workloads, handling petabytes of data across hundreds of servers for internal and external users.
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