Staff Hardware Engineer, Yield Integration

2 Months ago • 6 Years + • Manufacturing • $174,000 PA - $258,000 PA

Job Summary

Job Description

As a Yield Integration Engineer at Google's Raxium, you'll investigate yield loss in semiconductor manufacturing processes and lead cross-functional teams to improve production output. Responsibilities include assessing yield performance, using statistical analysis and failure analysis to identify root causes, developing yield improvement plans, driving process specifications and binning strategies, and monitoring yield data for continuous improvement. This role is crucial in ensuring the high-quality production of innovative display technologies for AR and light-field applications. The position requires experience in yield engineering and process integration, along with expertise in statistical data analysis and failure analysis techniques.
Must have:
  • Bachelor's degree in relevant field
  • 6+ years yield engineering/process integration experience
  • Statistical data analysis and yield modeling
  • Failure analysis techniques and tools
  • Lead cross-functional teams
Good to have:
  • Master's or PhD in relevant field
  • Experience with compound semiconductors
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
  • 6 years of experience in yield engineering or process integration.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
  • Experience with statistical data analysis and yield modeling.
  • Experience with failure analysis techniques and tools.

About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

As a Yield Integration Engineer, you will be responsible for investigating the causes of yield loss in our process technology and leading cross-functional teams to drive yield improvement to ensure that our manufacturing processes are to produce the possible output of quality products.

Google's Raxium display group has established a revolutionary semiconductor materials display technology that enables new functionality in display products, bringing to users a closer and more natural linkage between the digital and physical realms in applications such as augmented reality (AR) and light-field display. With start-up roots and a state-of-the-art compound semiconductor fab in Silicon Valley, Raxium is seeking to build upon its engineering team with an aim to disrupt next-generation display markets.

The US base salary range for this full-time position is $174,000-$258,000 + 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 .

Responsibilities

  • Assess yield performance throughout the manufacturing process and establish failure paretos.
  • Utilize statistical analysis and failure analysis methods to identify root causes of yield loss.
  • Collaborate with and lead cross-functional teams to develop, implement, and maintain yield improvement plans and strategies.
  • Drive process specifications, tools, and binning strategies to maximize yield outputs while optimizing for cost and operations.
  • Monitor and analyze yield data on an ongoing basis to identify trends, anticipate issues, and drive continuous improvement.

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