Staff Hardware Systems Design Engineer

1 Week ago • 6-10 Years • Systems Design • Research & Development • $174,000 PA - $258,000 PA

Job Summary

Job Description

As a Staff Hardware Engineer at Google Cloud, you'll work on Machine Learning/AI hardware systems for data center deployments. Collaborate with product, ASIC/FPGA, software, and verification teams to ensure system goals and feature verification are met. Responsibilities include gathering system requirements, defining architecture, executing hardware design, product validation, and leading the bring-up, validation, NPI, deployment, and sustaining of hardware solutions. You'll work cross-functionally with various teams and external vendors, driving system development from concept to production. Debugging, root cause analysis of deployed systems, and ensuring manufacturability are also key aspects of this role.
Must have:
  • Master's degree in relevant field or equivalent experience
  • 6+ years hardware systems design experience (5 years with advanced degree)
  • 3+ years technical leadership experience
  • System architecture design & execution
  • Hardware 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 or management experience

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.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $174,000-$258,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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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