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.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Responsibilities:
- Create comprehensive test plans and effectively coordinate resources across multiple test environments.
- Perform electrical, functional, reliability, and performance tests to ensure hardware solutions meet strict standards.
- Report bugs and drive corrective actions with external suppliers or internal development teams.
- Maintain, improve, and drive efficiency and quality in the qualification process, focusing on Gen-to-Gen optimization.
- Work closely with the Original Device Manufacturer (ODM)/Joint Design Manufacturing (JDMs) to ensure all external testing aligns perfectly with company standards.
Minimum qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
- 2 years of experience working in a technical server environment, or 1 year of experience with an advanced degree.
Preferred qualifications:
- Master’s degree in Electrical Engineering, Computer Engineering, or a related technical field.
- Experience utilizing a methodical and organized approach to data collection, root-cause analysis, and reproducing hardware failures.
- Understanding of CPU, Memory, and peripheral characterization using statistical analysis and data collection for failure analysis.
- Familiarity with common interface test methodologies (PCIe, CXL, Memory, I2C/I3C, SPI/eSPI) and component performance evaluation.
- Excellent written or verbal communication skills, along with an understanding of complex computer systems.
