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Machine Learning Hardware Architect, Google Cloud
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part
In inglese
- Company
- Location
- Sunnyvale, CA, USA
- Status
- Open
- Posted
- 2026-09-16T10:36:13+00:00
Google Cloud is hiring a Machine Learning Hardware Architect in Sunnyvale, California, for on-site, full-time work. The role centres on the Tensor Processing Unit roadmap: weighing power, performance and cost of proposed designs, characterising ML workloads, and co-designing with hardware, software and compiler teams. It asks for a bachelor's degree in electrical engineering, computer engineering, computer science or equivalent, five years in computer architecture or hardware design, and C++ or Python development. Pay is listed at $163,000 to $236,000, plus a 15% bonus target and equity.
Original job posting