Google

Silicon RTL Design Engineer, TPU, Google Cloud

Posted On

Sept. 4, 2024

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

Sept. 26, 2024

Job Description

Own implementation of IPs and subsystems.
Work with Architecture and Design Leads to understand micro-architecture specifications.
Drive design methodology, libraries, debug, code review in coordination with other IPs Design Verification (DV) teams and physical design teams.
Identify and drive Power, Performance, and Area improvements for the domains owned.

Minimum qualifications:

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
3 years of experience in ASIC/SoC development with Verilog/SystemVerilog.
Experience in micro-architecture and design of IPs and subsystems.
Experience with ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT).

Preferred qualifications:

Experience with programming languages (e.g., Python, C/C++ or Perl).
Experience in SoC designs and integration flows.
Knowledge of arithmetic units, processor design, accelerators, bus architectures, fabrics/NoC or memory hierarchies.
Knowledge of high performance and low power design techniques.

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
3 years of experience in ASIC/SoC development with Verilog/SystemVerilog.
Experience in micro-architecture and design of IPs and subsystems.
Experience with ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT).

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

You will be part of a team developing SoCs used to accelerate machine learning computation in data centers. You'll solve technical problems with innovative and practical logic solutions, and evaluate design options with performance, power, and area in mind. You will collaborate with members of architecture, verification, power and performance, physical design and more to specify and deliver high quality designs for next generation data center accelerators.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

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