Staff Hardware Systems Design Engineer, Google Cloud

2 Months ago • 6-10 Years • Systems Design • Manufacturing • $168,000 PA - $252,000 PA

Job Summary

Job Description

As a Staff Hardware Systems Design Engineer at Google Cloud, you'll design and develop machine learning/AI hardware systems for data center deployments. Collaborating with product, ASIC/FPGA, software, and verification teams, you'll ensure proper system verification and manufacturability. Responsibilities include gathering system requirements, defining architecture, executing hardware design, leading validation and deployment, working with manufacturing and field teams, and driving system development from concept to production. You'll also lead debug and root cause analysis of deployed systems. This role requires significant experience in hardware design and technical leadership.
Must have:
  • Master's degree in relevant field
  • 6+ years hardware systems design experience
  • 3+ years technical leadership
  • Hardware design, bring-up, and validation
  • Cross-functional collaboration
Good to have:
  • PhD in relevant field
  • 10+ years hardware experience
  • Experience with PCIe Gen3+, DDR4+, signal integrity
  • Technical leadership/management
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • Master's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
  • 6 years of experience working in a hardware systems design, or 5 years of experience with an advanced degree.
  • 3 years of experience in technical leadership.

Preferred qualifications:

  • PhD in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
  • 10 years of experience with hardware, design and bring-up.
  • 3 years of experience in technical leadership or management.
  • Experience in PCIe Gen3+, DDR4+, and signal integrity.

About the job

As a Staff Hardware Engineer, you will work on Machine Learning/AI hardware systems projects to craft the solutions for current and future data center deployments. You will work with Product teams to ensure that goals are met with systems and will work with ASIC/FPGA, Software, and Verification teams to ensure proper verification of features. You will also work with the manufacturing teams to ensure that designs are manufacturable and ready for volume production, and with the field teams to support systems that are deployed in the data center.

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.

The US base salary range for this full-time position is $168,000-$252,000 + 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 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 .

Responsibilities

  • Gather system requirements, define architecture, execute hardware design, and product validation.
  • Lead the bring up, validation, NPI, deployment, and sustaining of hardware solutions.
  • Work cross-functionally with Hardware, Software, Mechanical, Thermal, Validation, Manufacturing, and external vendors.
  • Drive system development from concept through production.
  • Lead debug and root cause analysis of deployed systems.

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