Senior Manager, Machine Learning Manufacturing Test Engineer, NPI at Google
Sunnyvale, California, USA -
Full Time


Start Date

Immediate

Expiry Date

16 Nov, 25

Salary

293000.0

Posted On

16 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

People Management, Test Engineering, Analytical Skills, Test Development, Materials

Industry

Information Technology/IT

Description

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.

How To Apply:

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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.
    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form
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