Joining NVIDIA's DGX Cloud AI Efficiency Team means contributing to the infrastructure that powers our innovative AI research. This team focuses on optimizing efficiency and resiliency of AI workloads, as well as developing scalable AI and Data infrastructure tools and services. Our objective is to deliver a stable, scalable environment for AI researchers, providing them with the necessary resources and scale to foster innovation. We are seeking excellent Software Engineers to design and develop tools for AI application performance analysis. Your work will enable AI researchers to work efficiently with a wide variety of DGXC cloud AI systems as they seek out opportunities for performance optimization and continuously deliver high quality AI products. Join our technically diverse team of AI infrastructure experts to unlock unprecedented AI performance in every domain. What You'll Be Doing - 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 What We Need To See - 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 - Outstanding ability to understand users, prioritize among many contending requests, and build consensus - Passion for “it just works” automation, eliminating repetitive tasks, and enabling team members Ways To Stand Out From The Crowd - Experience in working with the large scale AI cluster - Experience with CUDA and GPU computing systems - Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, JAX/XLA etc.) - Deep understanding of the software performance analysis and optimization process NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. JR1997418