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 system
• Create systematic strategies to model various components of transformer architectures, including different operations, parallelization strategies, and optimizations
• Utilize generative AI tools to optimize hardware architecture design based on specified constraints and objectives and explore advanced compilation techniques
• Ensure consistent requirements across software and hardware design iterations, optimizing software routines for hardware performance
• Identify issues and flaws early in the design process through simulations and improve product reliability.
  
  

• B.Sc degree in Computer Science, Electrical Engineering, or related field
• 5+ years of work experience in related fields, such as computer vision, machine learning, or AI, with responsibilities for software optimization
• Strong programming skills in C++ and Python
• Experience with deep learning frameworks
• Deep understanding of System-On-Chip architectures and performance characteristics
• Expertise in performance modeling and analysis of AI systems