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Hardware Engineer, Cloud Platforms Systems
GoogleSingapore2+ years
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Minimum qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
- 2 years of experience in board-level design and testing, or 1 year of experience with an advanced degree.
Preferred qualifications:
- Master's or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field.
- Experience with hardware and system design.
- Experience deploying and debugging hardware products in a large-scale data center environment.
- Experience with power circuit design and signal integrity.
About the job
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 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.
Responsibilities
- Identify flaws and issues with hardware components.
- Evaluate hardware design feasibility based on product requirements.
- Apply best practices to optimize constrained hardware components to meet performance, power, and cost-effectiveness requirements.
- Drive efforts for the documentation of the hardware design, its implementation, or test/validation results throughout the product life cycle.
- Review and approve hardware designs (e.g., block diagrams, schematics, layouts, Bill of Materials (BOM), algorithms, protocols, link budgets).
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