Manufacturing Test Development Engineer

Company: Google
Location: Atlanta
Posted on: April 4, 2026

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 with coding in Python, Bash, and Shell scripting to generate product-specific test plans and executing test processes. Preferred qualifications: Master's degree in Engineering or equivalent practical experience. 5 years of experience with overseeing yield improvements and cycle time reductions for high volume and high complexity parts. Experience in establishing system calibration, gauge repeatability and reproducibility, and correlation study for each change management. Experience with DFT, structural tests (e.g., In-Circuit Testing/Boundary Scan (ICT/B-SCAN)), board and system level functional test (e.g., L6 and L10) Experience with test stations bringing-up, calibration and setup for production test purposes and working with Contract Manufacturer (CM) partners on Original Design Manufacturer (ODM), Original Equipment Manufacturer (OEM), Joint Design Manufacturer (JDM) projects. 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. In this role, you will develop, enhance and sustain manufacturing test processes, tools and procedures for manufacturing operation of products to be deployed at Google Data Center. You will be ensuring manufacturing test processes are repeatable and controlled. You will collaborate with the New Product Introduction (NPI) engineers, Hardware/Software (HW/SW) Design Engineers and Quality Engineers to drive improvements to products and manufacturing processes. You will ensure the various pieces of Google’s infrastructure fit together and keep the systems humming along for a seamless user experience.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 the driving force 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 Apply Root Cause Corrective Action (RCCA) fundamentals and collaborate with teams to help them understand and apply RCCA tools and principles and analyze/understand failure to resolve issues. Partner with the NPI team to define Design For Test (DFT) requirements and provide input to manufacturing test strategy. Design, build, optimize and deploy test platforms for Google compute server at the global manufacturing partners. Analyze, troubleshoot and root cause of manufacturing yield issues and data center field escapes. Drive issues to closure with corrective and preventive measures. Collaborate with internal engineers and partner engineers to drive test improvement for efficiency and effectiveness.

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