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 to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Responsibilities
Focus on understanding system behavior across multiple layers, identifying performance bottlenecks, and driving improvements that shape how our clusters are built, operated, tuned, and validated.
•Investigate and troubleshoot performance issues of GPU cluster under real workloads (training and inference)
•Evaluate and integrate new hardware, system configurations and tuning approaches through software stack
•Support complex performance-related escalations from internal teams and customers
•Work closely with infrastructure, software engineering and hardware vendor teams (e.g. NVIDIA, Mellanox, Intel)
•Contribute to hardware and cluster qualification (acceptance), ensuring systems meet performance expectations
Requirements
•5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming)
•3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning)
•In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems
•Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python)
Conditions
•Competitive compensation
•Career growth and learning opportunities
•Flexibility and ownership
•Collaborative and innovative culture
•Opportunity to work on impactful AI projects
•International environment and talented teams
•Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
