Nebius Group
1001 - 5000 employees
🏢 Enterprise
☁️ SaaS
AI • Enterprise • SaaS
Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
HPC System Engineer
Job not on LinkedIn
🔥 0 minutes ago
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Nebius Group
1001 - 5000 employees
🏢 Enterprise
☁️ SaaS
AI • Enterprise • SaaS
Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
📋 Description
• Work closely with hardware, development teams to profile and analyze GPU performance at the system and kernel level. • Evaluate and compare GPU performance across different platforms, architectures, and software stacks (e.g., CUDA, ROCm). • Perform acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads. • Perform experiments across diverse GPU system configurations to assess the impact of varying interconnect strategies and system-level optimizations on performance and scalability.
🎯 Requirements
• Proficient in Unix/Linux, plus Python and Bash for automation. • Good understanding of the GPU stack: CUDA, NCCL, drivers, and relevant libraries • Proven ability to troubleshoot complex system issues including hardware, software, and networking problems. • Familiarity with containerized environments (e.g., Docker, Kubernetes).
🏖️ Benefits
• Competitive compensation • Career growth and learning opportunities • Flexibility and work-life balance • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams
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