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Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026. Google scores B on the Alion truth index.

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Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

About the job

As a Manufacturing Test Lead on the Project Suncatcher team, Google’s initiative to harness abundant solar energy and overcome terrestrial power and thermal scaling limits via space-based, solar-powered data centers, you will drive the technical strategy and execution for our Manufacturing Test Development programs, delivering Tensor Processing Unit (TPU) hardware into low Earth orbit (LEO) satellite constellations.

You will be responsible for defining the overarching test strategy, determining both what to test and how to test it for each product. This key role involves architecting and designing tester hardware and software, creating comprehensive documentation including end-to-end test strategies and detailed test plans. Leveraging your deep understanding of Contract Manufacturer (CM) and Joint Development Manufacturer (JDM) environments, you will guide cross-functional test development teams to deliver robust, timely, and highly controlled test solutions to our partner factories, ensuring our advanced machine learning hardware is always flight ready.

As the first line of defense for Google Cloud hardware build quality, the Manufacturing Test Solutions (MTS) team architects, develops, and delivers comprehensive manufacturing test software and hardware systems which are deployed across our global partner ecosystem. From PCBA (L6) to fully integrated compute racks (L11), we ensure production of Google Cloud’s next-generation machine learning, TPU, and GPU hardware scales seamlessly, from NPI development to massive production volume.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $150000 - $217000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Establish comprehensive manufacturing test strategies and detailed test plans, optimizing the balance between test coverage, capacity, and technical risk.
  • Architect, develop, and review automated functional test scripts utilizing Agentic AI to support end-to-end volume manufacturing deployment.
  • Oversee board and system-level test development while managing dependencies with internal teams, external partners, and collaborating on Design for Test (DFT) initiatives.

  • Direct the planning, budget, capacity, and scheduling for manufacturing test development projects to ensure alignment with NPI program milestones.

  • Identify technical risks, establish mitigation plans, and maintain clear stakeholder communication through dashboards, reports, and structured reviews.

Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience creating manufacturing test strategies that cover functional board level through to system tests.

  • 5 years of experience with Python and Linux.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, Electrical Engineering, or a related field.
  • Experience developing manufacturing test software and manufacturing test hardware involving custom electronics, fixturing and instrumentation.
  • Experience in technical leadership, project management, and executive communication.
  • Ability to generate product-specific test plans and execute functional tests.
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