Manufacturing Test Engineer Manager

Minimum qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, or equivalent engineering experience.
  
• 10 years of experience in Test Engineering in electronics manufacturing.
• 8 years of experience in people management.
  
• Experience coding in Python, Bash, and Shell scripting to generate product-specific test plans and executing testing accordingly.

Preferred qualifications:

• Experience in manufacturing, quality, or product engineering for hardware technology and systems.
  
• Experience working with server, storage, and networking products especially AI and ML servers, racks and integration.
• Experience with test station bring-up, gauge R&R/correlation and working with partner or agreement manufacturing (ODM, OEM, JDM).
• Experience managing manufacturing test hardware using custom electronics, fixturing, instrumentation, and defining test strategy, test automation, test optimization, and scaling test capacity.
• Experience with design for tests, structural tests such as ICT/BSCAN, Board and System level Functional Tests.
• Ability to drive improvement of test systems and processes for scaling test capacity.

About the job

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.

Responsibilities

• Lead a team of individuals, set and communicate individual and team priorities that support organizational goals. Meet regularly with individuals to discuss performance and development, and provide feedback and coaching.
  
• 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.
  
• Define and execute data collection activities for high complexity technical issues.
  
• Drive process design, optimization, and qualification activities of a manufacturing process for a component, part, or product.