Senior AI/ML Hardware Architect, Google Cloud

info_outlineXIn most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.

• 8 years of experience in architecture and micro-architecture design of graphics or Machine Learning (ML) or Ethernet/ROCE/UAL/NVlink scaleup/out fabrics or managing Low Precision/Mixed Precision Numerics/Vector processors/DSP processors or experience architecting networking ASICs.

• Experience in memory hierarchy on chip fabrics, memory controllers, High Bandwidth Memory (HBM), and Dynamic Random-Access Memory (DRAM) technologies.

Preferred qualifications:

• Master's degree or PhD in Computer Engineering, Electrical Engineering, or equivalent practical experience.

• Experience working with software teams optimizing the hardware/software interface.

• Experience in performance analysis and modeling, defining and driving performance test plans.

• Experience in programming languages (e.g., C++, Python).

• Knowledge of arithmetic units, bus architectures, accelerators or memory hierarchies and high performance and low power design techniques and use of ML tools for building smarter tools.