Designs and builds Python-based systems to provision, configure, and manage large-scale bare-metal cloud infrastructure for AI workloads, working closely with hardware and networking teams.
Maintain and optimize data center IT infrastructure, troubleshoot hardware issues, and perform repairs in a modern GPU cloud cluster environment.
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.
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.
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.
Oversee the end-to-end construction and commissioning of AI-focused data centers in New Jersey, ensuring regulatory compliance, operational readiness, and energy efficiency.
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 Hardware Engineer designs, deploys, and troubleshoots high-performance GPU-based cloud systems for AI workloads, focusing on compute, networking, and server infrastructure.
Design and operate high-performance data center networks for AI workloads, focusing on CLOS fabrics, routing, and switching in a global cloud infrastructure company.
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.
Senior Software Engineer builds fault-tolerant cloud services (compute, storage, networking, ML) in C++ for a hyperscaler AI cloud platform serving developers and enterprises.
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.
Senior engineer builds and operates a managed PostgreSQL service optimized for AI workloads, including vector search and migrations, using Go and PostgreSQL internals.
Senior Software Engineer builds and maintains backend observability systems for a global AI cloud platform, focusing on metrics, monitoring, and infrastructure reliability at scale.
Senior backend engineer building a distributed, fault-tolerant storage system for a hyperscaler cloud platform, using C++, virtio, QEMU, and high-throughput networking.
Senior Software Engineer at Nebius to develop and optimize YDB, an open-source distributed database and object storage system for AI workloads, using C++ and modern hardware.
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.
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