Minimum qualifications:- Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
- 6 years of experience working in a data center systems architecture, design, hardware bring-up and validation technical environment.
- 3 years of experience in technical leadership.
- Experience partnering with industry leaders on evaluating, defining and driving test methodologies for hardware systems.
Preferred qualifications:- Master's degree in Electrical Engineering, Mechanical Engineering or equivalent practical experience.
- 15 years of experience working in data center systems architecture, design, hardware bring-up and validation.
- Experience with leadership in defining test processes and solutions for large hardware organizations.
- Knowledge of data center and hardware design, testing and deployment methodologies and issues.
- Understanding of hardware architecture, electrical validation, including test methodologies for high speed interfaces, like Peripheral Component Interconnect Express (PCIe), Compute Express Link (CXL), Ethernet and Double Data Rate (DDR).
- Ability to solve system issues, technical innovation and driving technical roadmaps.
About the jobBe 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 Google Platforms Infrastructure Engineering team designs, builds and collaborates on hardware, software and networking technologies that power all of Google's services.
As a Hardware Validation Lead, you will design and architect validation methodologies and processes across the test horizontal for systems that are the heart of the computing infrastructure. Your work has the potential to shape the machinery that goes into our data centers affecting Google users.
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 force 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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $188000 - $275000 (USD) 20% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities- Design and evaluate system and subsystem hardware testing methodologies for data center hardware, covering electrical, functional, stress, and system-level testing.
- Assess, structure, and formulate best practices to improve validation for slow speed interfaces like SPI and I2C, and high speed interfaces like PCIe, Ethernet, and DDR.
- Develop strategy and roadmap for test infrastructure and process to meet future technology and portfolio requirements while defining high level architecture for product hardware validation.
- Gather requirements, define high level architecture, execute strategy for product hardware validation.
Work closely with engineering, manufacturing, product, and deployment teams to support deployment and field support. - Collaborate with external technology and system partners, to understand capabilities and industry trends, and represent Google's technical requirements with these partners. Partner with software development and validation teams on end-to-end qualification and verification strategy and planning.
