SeniorDeepLearningPerformanceArchitect

We are now seeking a Senior Deep Learning Performance Architect! NVIDIA is looking for outstanding Performance Architects with a background in performance analysis, performance modeling, and AI/deep learning to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications. **What you’ll be doing:** * Develop innovative architectures to extend the state of the art in deep learning performance and efficiency * Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites * Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications * Evaluate PPA (performance, power, area) for hardware features and system level architectural trade-offs. Develop high level simulators in C++/Python * Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW **What we need to see:** * MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience * 6+ years of relevant meaningful work experience * Strong background in GPU or Deep Learning ASIC architecture for distributed training and/or inference spanning multi-chip/multi-node * Experience with performance modeling, architecture simulation, profiling, and analysis * Solid foundation in machine learning and deep learning. Understanding of modern transformer-based architectures and their performance at scale. * Strong programming skills in Python, C, C++ **Ways to stand out from the crowd:** * Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, JAX, TensorRT) * Familiarity with advanced optimizations and SW/HW co-design in LLM training and inference * Exposure to using AI to accelerate SW engineering * Demonstration of self-motivation and creative / critical thinking Intelligent machines powered by Artificial In