Manufacture and Test Engineer, Rack Integration

1 Month ago • 8 Years + • Manufacturing • $138,000 PA - $202,000 PA

Job Summary

Job Description

This role involves leading manufacturing test development for Google's custom-designed hardware, supporting compute, storage, networking, and machine learning data center products. Responsibilities include writing test plans, developing automated test software using Python, troubleshooting yield issues, identifying Design for Testing (DFT) opportunities, and collaborating with design engineers. The ideal candidate possesses a Bachelor's degree in Computer Engineering or equivalent experience, along with 8+ years of manufacturing experience and expertise in embedded software or test automation. The position requires strong understanding of networking fundamentals (PCIe, Ethernet, TCP/IP) and the ability to generate and execute product-specific test plans. This role ensures Google's infrastructure functions seamlessly for its users.
Must have:
  • Bachelor's degree in Computer Engineering or equivalent
  • 8+ years manufacturing experience
  • Embedded software/test automation (Python)
  • Develop automated test software
  • Troubleshoot manufacturing yield issues
Good to have:
  • Experience developing manufacturing test hardware
  • Understanding of networking fundamentals (PCIe, Ethernet, TCP/IP)
  • Ability to generate product-specific test plans
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • Bachelor's degree in Computer Engineering or equivalent practical experience.
  • 8 years of experience in manufacturing.
  • Experience in embedded software or test automation with Python.

Preferred qualifications:

  • Experience with developing manufacturing test hardware using electronics, fixturing, and instrumentation.
  • Understanding of networking fundamentals in PCIe, Ethernet, and TCP/IP.
  • Ability to generate product-specific test plans and execute testing.

About the job

Google's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience.

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 $138,000-$202,000 + 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

  • Lead manufacturing test development for new and existing hardware designs to support Compute and Storage, Networking, and Machine Learning Data Center products.
  • Write test plans, and drive test coverage based on product requirements.
  • Develop automated test software for functional test. Conduct code reviews and debug test failures.
  • Analyze, troubleshoot, and root cause manufacturing yield issues and field escapes. Drive issues to closure with preventive measures, and document debug process and findings.
  • Identify Design for Testing (DFT) opportunities, document, and collaborate with design engineering hardware/software for implementation prior to manufacturing builds.

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