Senior DGX AI Cloud Performance Analysis Tools Engineer

Job Description

Join NVIDIA's DGX Cloud AI Efficiency Team to contribute to optimizing efficiency and resiliency of AI workloads and developing scalable AI and Data infrastructure tools and services.

Requirements

• Minimum of 8+ years of experience in software infrastructure and tools
• BS or higher degree in computer science or similar (or equivalent experience)
• Adept programming skills in multiple languages including C++ and Python
• Solid foundation in operating systems and computer architecture

Responsibilities

• Develop AI performance tools for large scale AI systems providing real-time insight into applications performance and system bottlenecks
• Conduct in-depth hardware-software performance studies
• Define performance and efficiency evaluation methodologies
• Automate performance data analysis and visualization to convert profiling data into actionable optimizations
• Support deep learning software engineers and GPU architects in their performance analysis efforts
• Work with various teams at NVIDIA to incorporate and influence the latest technologies for GPU performance analysis

Benefits

• Multiple relocation packages
• Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
• 8-week parental leave
• 9 Employee Resource Groups
• Annual bonus offering
• Flexible work arrangements
• Up to 6% 401K matching