Google

Manufacturing Test Development Engineer, AI Infrastructure

Google$120K — $172K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Electrical Engineering, Computer Science, or equivalent experience.
  • 5 years of experience in test engineering or related fields.
  • Experience with manufacturing Rack/L11 test hardware integration.
  • Proficient in Python, Bash, and Shell scripting for test plans and execution.
  • Knowledge of system calibration and gauge R&R.

Responsibilities

  • Design and deploy Rack and L11 test platforms at global manufacturing sites.
  • Collaborate with teams to define DFT requirements for manufacturing strategy.
  • Support manufacturing testing for new and existing hardware products.
  • Enhance test process efficiencies and coverage while minimizing costs.
  • Troubleshoot and resolve manufacturing yield issues and test discrepancies.

Benefits

  • Access to cutting-edge technology and development resources.
  • Opportunity to work on products used by billions globally.
  • Engagement with innovative AI and infrastructure solutions.
  • Collaboration with a diverse team redefining computing standards.
  • Professional development opportunities within a leading tech company.
Full Job Description
Minimum qualifications:
  • Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience.
  • 5 years of experience in test engineering or equivalent.
  • Experience developing and integrating manufacturing Rack/L11 test hardware using custom electronics, fixturing, and instrumentation.
  • Experience coding in Python, Bash, and Shell scripting to generate product-specific test plans and execute test processes.

Preferred qualifications:
  • Experience working with Rack and L11 testing of server, storage, and networking products and with liquid cool system at the rack level for configuration and functional testing.
  • Experience in establishing system calibration, gauge Repeatability and Reproducibility (R&R), and correlation study for each change management.
  • Experience with test stations bring-up, calibration and setup for production test purposes.
  • Experience with DFT and system level functional test (L10/L11/L12).
  • Knowledge with the Linux and other operating systems and common command line tools.
  • Ability to drive continuous improvement of test systems and processes for increased manufacturability.


About the job
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.The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $120,000-$172,000 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 benefits at Google .

Responsibilities
  • Design, build, optimize and deploy Rack and L11 test platforms for Google compute/storage/ML server at the global manufacturing partner factory.
  • Collaborate with the NPI team to define Design for Test (DFT) requirements and provide input to manufacturing test strategy.
  • Provide caliber manufacturing test engineering support for new and existing products.
  • Drive initiatives to improve test process efficiencies, test coverage, and reduce cost.
  • Analyze, troubleshoot and root cause manufacturing yield issues and data center field escapes, while driving sustaining test issues to closure with corrective and preventive measures.


Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .

About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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