Senior Software Engineer, AI Performance Analysis

NVIDIA GPU Architecture Group is seeking a senior software engineer to automate and optimize performance analysis workflows for AI training and inference workloads. You will not only perform analysis but also reshape how it's done, building tools and workflows that scale across a broad audience of engineers. NVIDIA is a world-class leader in AI workload optimization, and your work will push these boundaries even further! What you'll be doing: Design and build performance analysis tools and workflows for AI training and inference workloads. Understand how AI performance engineers work and translate their needs into scalable, intuitive tooling. Develop integrations between profiling infrastructure and AI frameworks and workflows. Collaborate with performance engineers, hardware architects, and software teams to ensure profiling capabilities align with real-world AI workloads. Identify performance bottlenecks in AI workloads and develop automated approaches to detect and diagnose them. What we need to see: M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience). 6+ years of relevant work experience Deep knowledge of AI workloads, frameworks, and performance characteristics. Experience building tools, workflows, or infrastructure used by other engineers. Strong software development skills (Python, C++ preferred). Ability to translate user requirements into scalable tooling solutions. Up to date with AI-enabled tooling for software dev