NVIDIA is developing processors and system architectures that accelerate deep learning on edge devices, workstations and data center GPUs for a variety of applications, including automotive, robotics, large language models (LLMs) and AI generative models. We are looking for an expert deep learning system performance architect to join our modelling, efficiency optimization, performance projections and analysis effort. In this position, you will have the chance to optimize deep learning hardware and software architecture and make the significant impact in a dynamic technology focused companyWhat you’ll be doing:Analyze performance and efficiency of various machine learning/deep learning algorithms on different architecturesIdentify architecture and software performance bottlenecks and propose optimizationsExplore new features and hardware capabilities on deep learning applicationsWhat we need to see:BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.,)4+ years of working experience in relevant directions (e.g., performance models and optimizations) will be a plusBe familiar with deep learning platform architecture (e.g., GPU)A strong background in computer architectureBe familiar with LLM or generative AI deep learning algorithmsExperience on system performance or energy efficiency model development and analysisFamiliar with machine learning and deep learning frameworks#deeplearning
