About the role

What you’ll do

• Lead end-to-end product architecture for next-generation AI/ML accelerators, including TPUs
• Bridge machine learning workloads, software systems, and silicon implementation from architectural definition through production deployment
• Drive cross-functional technical alignment across RTL design, physical implementation, verification, thermal/power engineering, and post-silicon validation teams
• Translate emerging academic and industry AI trends into multi-year silicon product roadmaps
• Mentor architects and exercise technical influence

What you’ll need

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience; Master's degree or PhD in these fields
• 15 years of experience in computer architecture
• Experience with high-performance computing (HPC), server processors, GPUs, or machine learning (ML) accelerators
• Experience with semiconductor technologies and system-level trade-offs across process nodes, memory subsystems (e.g., HBM/DRAM), interconnects, packaging, and PPA
• Experience as lead product or chip architect across multiple generations of complex data-center AI/ML accelerators, GPUs, or HPC silicon
• Experience driving cross-functional technical alignment across RTL design, physical implementation, verification, thermal/power engineering, and post-silicon validation teams; strong track record of technical influence, mentoring architects, and translating AI trends into multi-year silicon product roadmaps

Original job description