We are dedicated to delivering laboratory infrastructure and expert engineers to facilitate Google Cloud in achieving excellence in hardware testing, automation, prototyping, product quality, and innovative endeavors. Our efforts maximize resources, ensure product excellence, and accelerate time to market. The hardware solutions supported by the Product Infrastructure Engineering Test Infrastructure Network (PIE TIN) form the fundamental infrastructure of Google's Data Centers and Mini Clusters worldwide.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing
Gemini models to enterprise customers.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $188000 - $275000 (USD) + 20% bonus target + equity + benefits
Learn more about
benefits at Google.
Responsibilities
- Lead a specialized hardware engineering team supporting New Product Introduction (NPI) projects, collaborating with Project Managers to prioritize workloads and maintain high performance in a changing environments.
- Perform Linux and Windows Operating System (OS) administration, including root-cause analysis for complex network issues, OS debugging, and engineering test setup maintenance.
- Partner with cross-functional teams to execute hardware assembly, firmware updates, and tool programming during critical project bring-up phases.
- Manage the end-to-end hardware supply chain, including component allocation, inventory of high-volume consumables, and the maintenance of a safe, organized lab environment.
- Increase operational efficiency by developing standardized procedures and automation tools for data collection, population, and routine lab administrative tasks.
Minimum qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or equivalent practical experience.
- 6 years of experience working in a lab environment.
- 3 years of experience in technical leadership.
Preferred qualifications:
- Certification in RHCE or CCNA.
- 7 years of experience working in an Engineering laboratory environment.
- Experience working with cross-functional teams on bring up tasks (e.g., hardware assembly, programming with hardware tools, and firmware updates).
- Experience managing and organizing lab inventory of consumables by lab users.
- Experience maintaining an organized, clean, and safe operating lab.
- Ability to multi-task in a changing environment.