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Silicon AI/ML Architect, Google Cloud

Google

Silicon AI/ML Architect, Google Cloud

Google logo

Google

full-time

Posted: January 1, 2024

Number of Vacancies: 1

Job Description

Google | Bengaluru, Karnataka, India. Minimum qualifications: Bachelor's degree in Electrical Engineering or equivalent practical experience. 8 years of experience in micro-architecture and design of graphics or Machine Learning (ML) Intellectual Property (IP), managing Low Precision/Mixed Precision Numerics. 5 years of experience architecting networking Application-Specific Integrated Circuits (ASIC) from specification to production. Experience developing Register-Transfer Level (RTL) for ASIC subsystems using SystemVerilog. Experience in micro-architecture, design, verification, logic synthesis and timing closure. Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will be part of a team developing Artificial Intelligence (AI) accelerators in data centers and have responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation and implementation of the next generation of 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.

Locations

  • Bengaluru, Karnataka, India

Salary

Estimated Salary Rangemedium confidence

50,000,000 - 80,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • micro-architectureadvanced (Hardware Design)
  • ASIC designadvanced (Hardware Design)
  • RTL developmentadvanced (Hardware Design)
  • SystemVerilogadvanced (Programming)
  • logic synthesisadvanced (Hardware Design)
  • timing closureadvanced (Hardware Design)
  • C++intermediate (Programming)
  • Pythonintermediate (Programming)
  • Gointermediate (Programming)
  • performance analysisadvanced (Hardware Design)
  • low power designadvanced (Hardware Design)

Required Qualifications

  • Bachelor's degree (degree in Electrical Engineering)
  • micro-architecture and design of graphics or Machine Learning IP (experience, 8 years)
  • architecting networking ASICs (experience, 5 years)
  • developing RTL for ASIC subsystems (experience)
  • micro-architecture, design, verification, logic synthesis and timing closure (experience)
  • PhD (degree in Electrical Engineering)
  • working with software teams optimizing hardware/software interface (experience)
  • performance analysis and modeling (experience)
  • programming languages (experience)

Responsibilities

  • Evaluate different silicon solutions for executing Google’s data center Artificial Intelligence (AI) accelerator roadmap, components, vendor co-developments, custom designs and chiplets.
  • Create high-performance hardware/software interfaces.
  • Collaborate with software, verification, emulation, physical design, packaging and silicon validation stakeholders to ensure designs are complete, correct and performant.
  • Own microarchitecture of compute intensive Intellectual Property (IP) and subsystems.
  • Identify and drive power, performance and area improvements for the modules owned.

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Tags & Categories

SiliconAI/MLGoogle CloudHardware DesignEngineeringHardware

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Google logo

Silicon AI/ML Architect, Google Cloud

Google

Silicon AI/ML Architect, Google Cloud

Google logo

Google

full-time

Posted: January 1, 2024

Number of Vacancies: 1

Job Description

Google | Bengaluru, Karnataka, India. Minimum qualifications: Bachelor's degree in Electrical Engineering or equivalent practical experience. 8 years of experience in micro-architecture and design of graphics or Machine Learning (ML) Intellectual Property (IP), managing Low Precision/Mixed Precision Numerics. 5 years of experience architecting networking Application-Specific Integrated Circuits (ASIC) from specification to production. Experience developing Register-Transfer Level (RTL) for ASIC subsystems using SystemVerilog. Experience in micro-architecture, design, verification, logic synthesis and timing closure. Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will be part of a team developing Artificial Intelligence (AI) accelerators in data centers and have responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation and implementation of the next generation of 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.

Locations

  • Bengaluru, Karnataka, India

Salary

Estimated Salary Rangemedium confidence

50,000,000 - 80,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • micro-architectureadvanced (Hardware Design)
  • ASIC designadvanced (Hardware Design)
  • RTL developmentadvanced (Hardware Design)
  • SystemVerilogadvanced (Programming)
  • logic synthesisadvanced (Hardware Design)
  • timing closureadvanced (Hardware Design)
  • C++intermediate (Programming)
  • Pythonintermediate (Programming)
  • Gointermediate (Programming)
  • performance analysisadvanced (Hardware Design)
  • low power designadvanced (Hardware Design)

Required Qualifications

  • Bachelor's degree (degree in Electrical Engineering)
  • micro-architecture and design of graphics or Machine Learning IP (experience, 8 years)
  • architecting networking ASICs (experience, 5 years)
  • developing RTL for ASIC subsystems (experience)
  • micro-architecture, design, verification, logic synthesis and timing closure (experience)
  • PhD (degree in Electrical Engineering)
  • working with software teams optimizing hardware/software interface (experience)
  • performance analysis and modeling (experience)
  • programming languages (experience)

Responsibilities

  • Evaluate different silicon solutions for executing Google’s data center Artificial Intelligence (AI) accelerator roadmap, components, vendor co-developments, custom designs and chiplets.
  • Create high-performance hardware/software interfaces.
  • Collaborate with software, verification, emulation, physical design, packaging and silicon validation stakeholders to ensure designs are complete, correct and performant.
  • Own microarchitecture of compute intensive Intellectual Property (IP) and subsystems.
  • Identify and drive power, performance and area improvements for the modules owned.

Target Your Resume for "Silicon AI/ML Architect, Google Cloud" , Google

Get personalized recommendations to optimize your resume specifically for Silicon AI/ML Architect, Google Cloud. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Silicon AI/ML Architect, Google Cloud" , Google

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

SiliconAI/MLGoogle CloudHardware DesignEngineeringHardware

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