16 Aug
|
Google
|
Bengaluru
MINIMUM QUALIFICATIONS:
* Bachelor's degree in Electrical Engineering, Computer Engineering, Computer
Science, or a related field, or equivalent practical experience.
* 10 years of experience in ASIC development with Verilog/SystemVerilog, VHDL.
* Experience in ASIC design verification, synthesis, timing/power analysis, and
Design for Testing (DFT).
* Experience in micro-architecture and design of IPs and subsystems in
networking domain such as packet processing, bandwidth management, congestion
control, etc.
PREFERRED QUALIFICATIONS:
* Master's degree or PhD in Electrical Engineering, Computer Engineering or
Computer Science, with an emphasis on computer architecture.
* Experience with programming languages (e.g., Python, C/C++ or Perl).
* Experience in SoC designs and integration flows.
* Knowledge of arithmetic units, processor design, accelerators, bus
architectures, fabrics/NoC 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 be part of a team developing ASICs used to accelerate and
improve traffic efficiency in data centers. You will collaborate with members of
architecture, verification, power and performance, physical design to deliver
high quality designs for next generation data center accelerators. You will
solve technical problems with cutting-edge micro-architecture and practical logic
solu
📌 Micro-architecture and RTL Lead, Google Cloud (Bengaluru)
🏢 Google
📍 Bengaluru