Senior AI/ML Hardware Architect, Google Cloud
BengaluruFull-time8–14 yrsPosted 2 weeks ago
Leadership data science role at Google in Bengaluru. Needs 8+ years and a B.Tech, B.E. or PhD.
About the role
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity 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.
What you'll do
- Develop architecture specifications that meet current and future computing requirements for AI/ML roadmap
- Develop architectural and microarchitectural power/performance models, microarchitecture and evaluate quantitative and qualitative performance and power analysis
- Own microarchitecture of compute blocks and subsystems and partner with hardware design, software, compiler
- Create high performance hardware/software interfaces and collaborate with software, verification, emulation, physical design
- Identify and drive power, performance and area improvements for the modules owned and develop and contribute to the simulations tools
What you need
- Machine learning
- GCP
- Hardware
- VLSI
Good to have
- Python
- Test cases
- C++