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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.
Senior ML Engineer at Nebius building and optimizing large-scale AI inference and fine-tuning platforms for foundation models using JAX and modern hardware.
Senior ML Engineer at Nebius builds and optimizes high-performance inference and fine-tuning platforms for large language models across tens of thousands of GPUs, focusing on throughput, latency, and cost-per-token.
Senior ML Solutions Architect designs and optimizes serverless LLM inference and fine-tuning workflows for customers using Nebius Token Factory, focusing on production deployment and scalability.
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.
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.
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.
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 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.
Designs and maintains the physical and operational infrastructure that powers Nebius’s AI cloud platform, ensuring uptime and performance across global data centers.
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.
Principal Applied AI Researcher builds agent-native search systems for AI agents, designing retrieval and ranking architectures optimized for machine consumption at scale.
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