Designs and deploys large-scale AI/ML workloads on GPU cloud infrastructure, advising key customers and optimizing performance while collaborating with sales and product teams.
Lead a team optimizing GPU cluster performance for an AI cloud platform, diagnosing bottlenecks across hardware, networking, and software stacks like InfiniBand, KVM/QEMU, and NCCL.
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.
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…
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.
Technical Product Manager building an AI cloud platform that supports training and inference at scale, focusing on GPU orchestration, reliability, and developer experience.
Owns the operational health and SLA compliance of Nebius' global data center fleet, coordinating maintenance, audits, and vendor relationships to ensure reliable AI cloud infrastructure.
Owns the storage product vision and roadmap for a cloud AI platform, defining technical requirements for block, file, object, and HPC storage while balancing performance, durability, and cost.
Designs and implements AI/ML cloud integrations with strategic partners, enabling joint customers to deploy GPU-accelerated solutions efficiently using modern frameworks and cloud infrastructure.
Leads global partnerships with systems integrators to sell and deliver Nebius's AI cloud and HPC infrastructure to enterprise clients, building repeatable solutions and joint revenue streams.
Designs and optimizes large-scale GPU clusters for AI workloads, focusing on compute, networking, storage, and reliability across data centers.
Designs and implements cloud infrastructure and MLOps solutions for AI teams, advising on GPU orchestration, Kubernetes, and IaC tools like Terraform.
The Principal Solutions Architect will lead technical presales and solution design for strategic customers in Japan, focusing on large-scale AI/ML infrastructure and GPU-accelerated cloud workloads. The role involves acting as a trusted advisor to executive stakeholders and collaborating with internal product and engineering teams to drive adoption of the Nebius AI cloud platform.
Solutions architect acting as trusted technical advisor for key/strategic Nebius GPU Cloud customers in the Middle East & Africa, helping them design, deploy, and scale AI solutions on large-scale GPU workloads (hundreds to thousands of GPUs). Core stack: Kubernetes, Python, Terraform/Ansible, and GPU computing (CUDA/OpenCL) for ML training and inference.
Nebius is hiring a Senior Technical Program Manager (remote, US) to own end-to-end delivery of GPU clusters and data center IT infrastructure at hyperscale, coordinating engineering, networking, construction, and vendor teams. The role demands 7+ years of TPM experience with hands-on physical infrastructure work (GPU servers, InfiniBand, commissioning) rather than pure software program management.
Leads regional data center IT operations for an AI cloud provider — managing technicians across sites, ensuring uptime of servers, networking, storage and GPU clusters, and driving standardization, incident management and SLA compliance. Needs 8+ years in data center ops, 5+ years people management, and familiarity with HPC/GPU environments and ITIL.
A senior field engineer who owns end-to-end deployment, rack bring-up, validation, and production readiness of NVIDIA GB-series (H200/B200) GPU racks inside Nebius data centers — troubleshooting hardware, firmware, Linux, and networking issues, coordinating repairs, and leading on-site technicians.
A hands-on, partner-facing solutions architect who serves as the technical bridge between Nebius and strategic technology partners (data platforms, MLOps vendors, ISVs) building on Nebius' GPU-powered AI cloud. Day to day: designing integrations, building reference implementations, and enabling partner engineering teams using Kubernetes, Terraform, Python, and production AI/inference workloads.
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