Silicon Senior RTL Engineer, Google Cloud
Google · Bengaluru · onsite · Posted 27d ago
Not disclosed8–10 yrsfulltimeSourced from
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About this role
In most instances, this position requires in-person interviews as part of the hiring process.Minimum qualifications:
In this role, you will be part of a team developing SoCs used to accelerate Machine Learning (ML) computation in data centers. You will solve technical problems with innovative and practical logic solutions, and evaluate design options with complexity, performance, power and area in mind. 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.
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.
Responsibilities
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 8 years of experience in Application-Specific Integrated Circuit/System on a chip (ASIC/SoC) development with Verilog/SystemVerilog.
- Experience in micro-architecture and design of IPs and subsystems.
- Experience in ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT).
- 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.
In this role, you will be part of a team developing SoCs used to accelerate Machine Learning (ML) computation in data centers. You will solve technical problems with innovative and practical logic solutions, and evaluate design options with complexity, performance, power and area in mind. 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.
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.
Responsibilities
- Own microarchitecture and implementation of complex IPs and subsystems.
- Take ownership of RTL implementation and quality checks of one or more modules.
- Contribute to 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 (PPA) improvements for the modules owned.
- Participate in synthesis, timing/power closure, and FPGA/silicon bring-up.
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Skills
synthesiscPower AnalysisNOCPerlVerilogSystem VerilogFabricsAsic Design Verificationlow-power design techniquesmemory hierarchiesmicro-architectureIntegration FlowsacceleratorsSoC designsarithmetic unitsbus architecturesdesign of IPs and Subsystemsprocessor designPython
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