AI Chip Architect

Mobileye is looking for a talented Architect specializing in hardware-software performance modeling for deep learning and artificial intelligence systems. The ideal candidate will have a unique blend of skills spanning software engineering, deep learning, and hardware architecture.What will your job look like:Develop and maintain simulation frameworks that accurately model the performance of compute, memory, and heterogeneous components within advanced AI inference systemCreate systematic strategies to model various components of transformer architectures, including different operations, parallelization strategies, and optimizationsUtilize generative AI tools to optimize hardware architecture design based on specified constraints and objectives and explore advanced compilation techniquesEnsure consistent requirements across software and hardware design iterations, optimizing software routines for hardware performanceIdentify issues and flaws early in the design process through simulations and improve product reliability.All you need is:B.Sc degree in Computer Science, Electrical Engineering, or related field5+ years of work experience in related fields, such as computer vision, machine learning, or AI, with responsibilities for software optimizationStrong programming skills in C++ and PythonExperience with deep learning frameworksDeep understanding of System-On-Chip architectures and performance characteristicsExpertise in performance modeling and analysis of AI systems