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Job Description

  • Define and document comprehensive manufacturing test strategies, optimizing the critical balance between test coverage, production capacity, and technical risk.
  • Oversee board and system-level test development, managing schedules, budgets, and cross-functional dependencies to ensure alignment with NPI program milestones.
  • Identify technical and operational risks, developing and implementing effective mitigation strategies to support seamless volume manufacturing deployments.
  • Partner with design engineering teams to drive Design for Test (DFT) initiatives and maintain transparent communication with stakeholders via status updates and performance dashboards.
  • Author and maintain high-quality technical documentation, including end-to-end test processes and detailed test plans, to ensure consistency and operational excellence throughout the product lifecycle.

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in manufacturing.

Preferred qualifications:

  • Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field.
  • 10 years of experience with architecting complex manufacturing test solutions for CPU/GPU based products.
  • Experience with creating manufacturing test strategies that cover from structural through functional and system test.
  • Experience in technical leadership, project management, and executive communication.
  • Ability to communicate effectively on project requirements and schedules.
  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in manufacturing.
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  • Role Senior Manufacturing Test Development Engineer, Machine Learning
  • Experience 5-7 years
  • Education Any
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

177K – 239K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 33 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Any
Experience
5-7 years

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