Deep Learning Performance Architect

NVIDIA is developing processor and system architectures that accelerate deep learning on  edge devices, workstations, data center GPUs for a variety of applications including automotive, robotics,  large language models and AI generative models. We are looking for an expert deep learning system performance architect to join our deep learning modelling, performance optimization, 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 of various machine learning/deep learning algorithms on different GPU 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 will be a plusBe familiar with GPU or Accelerator-based deep learning platform and software stackA strong background in computer architectureBe familiar with LLM or generative AI deep learning algorithmsExperience on system architecture design and performance optimizationFamiliar with machine learning and deep learning frameworks#deeplearning