Google

Silicon SoC Design/Integration Engineer, TPU, Google Cloud

Job Description

  • Own microarchitecture, implementation, and integration of SoC Chassis and subsystems.
  • Perform quality check flows (e.g., Lint, CDC, RDC, VCLP).
  • 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, a related field, or equivalent practical experience.
  • 8 years of experience in ASIC development with Verilog/SystemVerilog, VHDL.
  • Experience in ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT).
  • Experience in one or more SoC integration domains and flows (e.g., clocking, debug, fabrics, security, or low power methodologies).

Preferred qualifications:

  • Experience with scripting languages (e.g., Python or Perl).
  • Experience in SoC designs and integration flows.
  • Knowledge of bus architectures, processor design, accelerators, or memory hierarchies.
  • Knowledge of high performance and low power design techniques.
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience in ASIC development with Verilog/SystemVerilog, VHDL.
  • Experience in ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT).
  • Experience in one or more SoC integration domains and flows (e.g., clocking, debug, fabrics, security, or low power methodologies).

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.

In this role, you will be part of a team developing cutting-edge ASICs used to accelerate machine learning computation in data centers. You will collaborate with members of architecture, verification, power and performance, physical design etc, to specify and deliver high quality designs for next generation data center accelerators. You will solve technical issues with innovative micro-architecture and practical logic solutions, and evaluate design options with complexity, performance, power and area in mind.

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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