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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.
Designs and maintains the physical and operational infrastructure that powers Nebius’s AI cloud platform, ensuring uptime and performance across global data centers.
Advises Nebius on selecting AI cloud infrastructure sites in the Americas by evaluating markets, risks, and processes, then designing repeatable frameworks for future expansion.
Designs and advises on cloud infrastructure and MLOps solutions for AI/ML teams, leveraging GPU cloud platforms and modern frameworks to optimize training and inference workloads.
Design and develop automation services for large-scale data center server fleets, using Python or Go, while owning the full stack from requirements to deployment in a cloud-focused AI infrastructure company.
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.
Builds and optimizes low-level GPU kernels and runtime components for an AI inference platform, integrating new hardware and collaborating with ML teams to improve performance at scale.
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.
Technical project manager overseeing IT infrastructure projects in data centers, focusing on GPU clusters, high-speed networks, and storage systems for an AI cloud platform.
Technical Project Manager driving IT infrastructure projects for a cloud platform serving the AI economy, focusing on GPU clusters, networking, and storage in data centers.
Technical Project Manager to oversee IT infrastructure projects in a data center, focusing on GPU clusters, networking, and storage systems 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.
Oversee and optimize warehouse logistics, asset management, and equipment certification for a global AI cloud platform company.
Manages HR systems projects and process improvements for a cloud AI platform company, aligning People systems with HR workflows and business needs.
Oversee the end-to-end construction of AI-focused data centers in Amsterdam, coordinating contractors, budgets, and critical MEP systems to meet aggressive timelines while ensuring reliability and safety.
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