Senior Manager, Machine Learning Manufacturing Test Engineer, NPI
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Minimum qualifications:
- Bachelor's degree in Engineering or equivalent practical experience.
- 12 years of experience in hardware test development and manufacturing test engineering.
- 10 years of leadership experience setting organizational strategy including people management.
- Experience creating and delivering manufacturing test strategies across multiple manufacturing levels, including functional and system level tests.
Preferred qualifications:
- Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field.
- Demonstrated ability to proactively influence the product design process by proposing improvements with associated data.
- Ability to work, influence, and resolve conflicts cross-functionally with internal/external partners.
- Excellent communication and people skills, with ability to successfully influence across multiple levels of the organization including senior management.
- Excellent analytical skills, tenacious problem solver, and ability to weigh risks & opportunities to desired outcomes.
About the job
Google’s Technical Infrastructure (TI) organization builds, operates, and maintains the infrastructure that makes Google possible. This covers everything from data centers and global networks to the hardware and software running on them. At the core of TI is the Cloud Supply Chain & Operations (CSCO) organization that delivers the compute capability that powers Google and the Google Cloud Platform.
The Machine Learning NPI Test Engineering team enables rapid launch and ramp of new data center machine learning products by deploying efficient end-to-end manufacturing test solutions. We also enhance product value and quality through test coverage, closed-loop feedback, and Design For Testability (DFT).
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 $208,000-$293,000 + 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
- Build and manage the overall team responsible for performing the end-to-end manufacturing test engineering function for Google's TPU and GPU products.
- Define the overall ML Test Engineering team strategy and strategic roadmap that aligns with Google’s overall ML product strategy, and drive alignment with key engineering and product organizations.
- Drive test development both internally and externally with key suppliers and manufacturing partners to ensure end-to-end test coverage required to support each product. Ensure seamless manufacturing test integration across manufacturing.
- Manage the overall test infrastructure development budget, and ensure that worldwide ML test infrastructure and capacity can meet all ML manufacturing requirements.
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