As a GPU Power Architect at Intel, you will be instrumental in advancing graphics and computing technology. Your role will involve designing energy-efficient hardware architectures and developing GPU power models that optimize performance and power efficiency. You will collaborate with top engineers to innovate GPU architecture that impacts millions of users. This position offers the opportunity to work on cutting-edge, scalable designs across various applications.

• M.S. or Ph.D. in Computer Engineering, Electrical Engineering, or a relevant STEM field.
• 2+ years of experience with a Master’s degree, or 1+ year of experience with a Ph.D.
• Experience in computer architecture and digital logic design using SystemVerilog.
• Proficiency in Python.

• Design and develop energy-efficient hardware architectures for AI/ML workloads.
• Build and validate GPU power models across representative use cases and workloads.
• Architect hardware mechanisms to control ICCmax and mitigate di/dt transients.
• Conduct detailed workload power analysis and drive optimizations to achieve performance-per-watt targets.
• Develop scalable flows and methodologies for accurate and efficient power analysis.

• Intel offers a comprehensive benefits package including competitive pay, stock programs, healthcare coverage, retirement plans, paid time off, parental leave, and programs supporting employee wellbeing and professional development.