SoC Design Tech Lead, Machine Learning Accelerators

Google
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Job Description

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience.
  • 8 years of experience in SoC architecture and logic design.
  • Experience with Silent Data Corruption (SDC), Detected Unrecoverable Errors (DUE) and Detectable and Correctable Errors (DCE) metrics, analysis and calculations.
  • Experience working with system and hardware teams in defining the RAS architecture.

Preferred qualifications:

  • Master's or PhD degree in Electrical Engineering, Computer Science, or a related field.
  • 12 years of experience in SoC architecture and design.
  • 6 years of experience architecting and designing RAS features.
  • Experience in SoC subsystem level logic redundancy design and test architecture.
  • Experience with Error Correction Code (ECC) implementations.
  • Knowledge of circuit level Soft Error Rate (SER) modeling, measurement and mitigation techniques, and error coding techniques and design.

About the job

Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.

In this role, you will be part of a Silicon Design team developing cutting-edge Application-Specific Integrated Circuit (ASIC) accelerators used in Google data centers. You will drive the architecture, design and implementation of reliability, availability and serviceability features. You will be responsible for collaborating with cross-functional teams to deliver reliable Tensor Processing Unit (TPU) SoCs across the platforms.

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.

Additional Information:

The US base salary range for this full-time position is $172,000-$263,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Lead the design and implementation of the Reliability, Availability, and Serviceability (RAS) features.
  • Collaborate with Platform team and co-design the SoC level RAS requirements.

Company Info.

Google

Google LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.

  • Industry
    E-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
  • No. of Employees
    139,995
  • Location
    1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
  • Website
  • Jobs Posted

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