TPU Compute RTL Engineer — AI Hardware Acceleration

Google LLC; Sunnyvale (CA); On-site; USD 138,000 - 197,000; Full time

Job summary

Google LLC is shaping the future of AI/ML hardware acceleration through cutting-edge TPU technology. You will contribute to designing and verifying complex digital designs focused on TPU architecture and its integration with AI/ML-driven systems.

The AI and Infrastructure teams empower Google’s world-scale computing, delivering performance, reliability, and efficiency for products used by billions. You will collaborate across software, hardware, and platform teams to deliver scalable silicon

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, or Computer Science, or equivalent practical experience.
• 4 years of experience with digital design experience using SystemVerilog RTL.
• Experience with Computer Architecture.

Responsibilities

• Work on Compute subsystem's design microarchitecture specifications.
• Develop SystemVerilog RTL to implement logic for ASIC products according to established coding and quality guidelines.
• Work with design validation (DV) teams to create testplans to verify, and debug design RTL.
• Work with physical design teams to ensure design meets physical requirements and timing closure.

Skills

SystemVerilog RTL

Computer architecture

Cross-functional collaboration

Education

Bachelor's degree in Electrical Engineering, Computer Engineering or Computer Science

Master's degree or PhD preferred

Job description

Google LLC is shaping the future of AI/ML hardware acceleration through cutting-edge TPU technology. You will contribute to designing and verifying complex digital designs focused on TPU architecture and its integration with AI/ML-driven systems.

The AI and Infrastructure teams empower Google’s world-scale computing, delivering performance, reliability, and efficiency for products used by billions. You will collaborate across software, hardware, and platform teams to deliver scalable silicon