Silicon RTL Design Engineer, PhD, Google Cloud

Google Inc.; Bengaluru; On-site; INR 9,460,738 - 13,245,033; Full time

Job summary

Google Inc. is seeking a Silicon RTL Design Engineer with a PhD to drive TPU technology for AI/ML applications. You will revolutionize machine learning workload characterization and develop architecture specifications for next-generation TPUs. This role requires strong programming skills in C++, Python, and Verilog, along with 2 years post-PhD experience in Silicon engineering.

The ideal candidate will have a strong understanding of high-performance design techniques and experience using performance modeling tools. Join Google in creating advanced custom silicon solutions and shaping the future of AI/ML.

Qualifications

• 2 years of experience in Silicon engineering post-PhD.
• Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies.
• Knowledge of high-performance and low-power design techniques.

Responsibilities

• Revolutionize machine learning workload characterization and benchmarking.
• Develop architecture specifications for AI/ML roadmap.
• Partner with hardware design and software teams for codesign.
• Drive design verification strategies and implementations.
• Investigate and optimize post-silicon test and debug strategies.

Skills

C++

Python

Verilog

Synopsys

Cadence

Education

PhD in Electronics and Communication Engineering

PhD in Electrical Engineering

PhD in Computer Engineering

Tools

Performance modeling tools

Job description

Silicon RTL Design Engineer, PhD, Google Cloud

Apply

• PhD degree in Electronics and Communication Engineering, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience
• Experience in programming languages (e.g., C++, Python, Verilog), Synopsys, Cadence tools.
• Experience with accelerator architectures and data center workloads.

Preferred qualifications

• 2 years of experience in Silicon engineering post PhD.
• Experience with performance modeling tools.
• Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies.
• Knowledge of high-performance and low-power design techniques.

About the job

In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google’s TPU, and leveraging your design and verification expertise to verify complex digital designs with a focus on TPU architecture and its integration within AI/ML-driven systems.

Responsibilities

• Revolutionize machine learning (ML) workload characterization and benchmarking, and propose capabilities and optimizations for next‑generation TPUs.
• Develop architecture specifications that meet current and future computing requirements for the AI/ML roadmap. Create architectural and microarchitectural power/performance models, microarchitecture and RTL designs, and evaluate quantitative and qualitative performance and power analysis.
• Partner with hardware design, software, compiler, machine learning model and research teams for effective hardware/software codesign, creating high‑performance hardware/software interfaces.
• Develop and adopt advanced AI/ML capabilities, drive accelerated and efficient design verification strategies and implementations.
• Use AI techniques for faster and optimal physical design convergence—timing, floor planning, power grid and clock tree design, etc. Investigate, validate, and optimize DFT, post‑silicon test, and debug strategies, contributing to the advancement of silicon bring‑up and qualification processes.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.