Arithmetic and Algorithms Researcher, CPU Architecture, Google Cloud

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
Minimum qualifications:

• Bachelor's degree in Math, Electrical Engineering, Computer Engineering, or equivalent practical experience.
• 3 years of experience in floating point datapath design and/or mathematical modules.

Preferred qualifications:

• Master’s degree or PhD in Math, Electrical Engineering, or Computer Science.
• Experience in design techniques to minimize data path power usage.
• Knowledge of floating point and SIMD Instruction Set Architecture (ISA) used by a modern high performance microprocessor.
• Understanding of IEEE 754 datapath implementations including design, verification and physical implementation issues.

About the job

Be part of a diverse 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.Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

• Define floating point data paths implementing the IEEE 754 standard while achieving performance, clock, and low power goals.
• Implement integer Single Instruction/Multiple Data (SIMD) and floating point SIMD data paths focusing on power/performance.
• Work with architecture and software teams to define and implement CPU and AI arithmetic algorithms with performance, clock, and low power goals.
• Participate in discussions around future architectural extensions and improvements in related areas.

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