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.

About the job
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an chance to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As an Senior AI/ML Hardware Architect, you will focus on the definition and path-finding for next-generation TPUs, specializing in one of the following: graphics, Machine Learning (ML), ethernet/ROCE/UAL/NVli

📌 Senior AI/ML Hardware Architect, Google Cloud (Bengaluru)
🏢 Google
📍 Bengaluru