13 Aug
|
Google
|
Bengaluru
Minimum qualifications:
- PhD degree in Electronics and Communication Engineering, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience
- Experience in programming languages (e.g., C++, Python, Verilog), Synopsys, Cadence tools.
- Experience with accelerator architectures and data center workloads.
Preferred qualifications:
- 2 years of experience in Silicon engineering post PhD.
- Experience with performance modeling tools.
- Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies.
- Knowledge of high-performance and low-power design techniques.
About the job
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive 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.
In this role, you will shape the future of AI/ML hardware acceleration as a silicon architect/design engineer and drive Tensor Processing Unit (TPU) technology that fuels Google's most demanding AI/ML applications. You will collaborate with hardware and software architects and designers to architect, model, analyze, define and design next-generation TPUs. You will have energetic, multi-faceted responsibilities in areas such as product definition, design, and implementation, collaborating with the engineering teams to drive the optimal balance between performance, power, features, schedule, and cost.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by deliveri
📌 Silicon RTL Design Engineer, PhD, Google Cloud (Bengaluru)
🏢 Google
📍 Bengaluru