Custom Silicon Data Infrastructure and Data Analysis Engineer

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 2 years of experience in program management.
  
• Experience in scripting languages (e.g., Python) for data analysis and automation, and experience with data visualization tools and techniques and building and maintaining automated data pipelines.

Preferred qualifications:

• Master's degree in Electrical Engineering, Computer Engineering, or a related field.
• 5 years of experience in Semiconductor Manufacturing and testing.
• Experience in Manufacturing, Quality, Reliability, or Product Engineering related industries.
• Knowledge of machine learning algorithms and their applications in manufacturing.
• Knowledge of statistical analysis and data mining methods.
• Excellent written and verbal communication skills.

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Responsibilities

• Develop and implement data-driven solutions to improve custom silicon assembly and test manufacturing efficiency, yield, and product quality.
• Utilize statistical analysis and machine learning techniques to analyze large datasets of semiconductor production data, identify trends, and predict potential issues.
• Create automated data pipelines and dashboards to monitor key performance indicators (KPIs) and provide real-time insights to stakeholders.
• Collaborate with cross-functional teams to gather data requirements, develop data analysis strategies, and communicate findings effectively.