TPU Compute RTL Design Engineer — AI/ML Acceleration

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

Benefits offered by this job

Bonus target 15%

Equity

Benefits

Job summary

Google LLC is leading the evolution of AI/ML hardware through its Tensor Processing Unit (TPU) program. The selected engineer will shape the future of TPU architecture and drive cutting-edge silicon solutions powering Google's AI workloads.

You will verify complex digital designs, collaborate across software, architecture, and hardware teams, and contribute to products used by millions worldwide. The role emphasizes design, verification, and integration within AI/ML-driven systems, with

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 4 years of experience with digital design experience using SystemVerilog RTL.
• Experience with Computer Architecture.
• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Experience interacting with software, architecture, and other cross-functional teams.
• Experience applying computer architecture principles to solve open-ended problems.
• Knowledge of processor design, accelerators, or memory hierarchies.

Responsibilities

• Work on their own to create and review 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 teamwork

Problem solving with architecture

Education

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

Master's degree or PhD in EE/CE/CS with emphasis on computer architecture

Tools

Compute subsystem design

Job description

Google LLC is leading the evolution of AI/ML hardware through its Tensor Processing Unit (TPU) program. The selected engineer will shape the future of TPU architecture and drive cutting-edge silicon solutions powering Google's AI workloads.

You will verify complex digital designs, collaborate across software, architecture, and hardware teams, and contribute to products used by millions worldwide. The role emphasizes design, verification, and integration within AI/ML-driven systems, with