Data Center Quality Engineer, Machine Learning GPU Platforms

Google is seeking a Data Center Quality Engineer to join their Manufacturing Operations team, focusing on Machine Learning GPU Platforms. This role combines hardware expertise with data analysis to ensure the quality and reliability of Google's custom-designed infrastructure. The position requires a strong background in quality or manufacturing engineering, with emphasis on statistical analysis and data visualization.

The role involves working with one of the largest computing infrastructures globally, where you'll evaluate product designs and establish processes for Google's search technology infrastructure. You'll collaborate closely with Commodity Managers and Design Engineers to meet infrastructure needs and product specifications, ensuring seamless integration of various system components.

As a Quality Engineer, you'll lead cross-functional teams, drive technical issue resolution, and implement innovative solutions in a data center environment. The position offers competitive compensation ($138,000-$202,000) plus additional benefits, reflecting Google's commitment to attracting top talent.

The ideal candidate will bring 8 years of relevant experience, strong analytical skills, and expertise in statistical methodologies. You'll work in Austin, contributing to Google's Technical Infrastructure team, which is fundamental to maintaining and advancing Google's product portfolio. This role offers an opportunity to impact global-scale infrastructure while working with cutting-edge technology in machine learning and GPU platforms.

This position combines technical leadership with hands-on engineering, requiring both analytical precision and strategic thinking. You'll be responsible for maintaining quality standards across complex systems, analyzing performance metrics, and driving continuous improvement initiatives. The role offers professional growth within a dynamic, innovative environment while contributing to technology that impacts billions of users worldwide.