Key skills
PythonPerlAIMLGoogle CloudVertex AI
About this role
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, Vhsic Hardware Description Language (VHDL).
- Experience in micro-architecture and design IPs and subsystems.
- Experience in ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT).
Preferred qualifications:
- Experience with scripting languages (e.g., Python or Perl).
- Experience in SoC designs and integration flows.
- Knowledge of bus architectures, fabrics/NoC, processor design, 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 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.In this role, you will be part of a team developing Application-Specific Integrated Circuits (ASIC) used to accelerate and improve traffic efficiency in data centers. You will collaborate with members of architecture, verification, power and performance, physical design, etc. to specify and deliver high quality designs for next generation data center accelerators. You will solve technical problems with innovative micro-architecture and practical logic solutions, and evaluate design options with complexity, performance, power and area in mind.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
Responsibilities
- Drive development of complex IPs and subsystems along with a team of engineers.
- Own micro-architecture and implementation of IPs and subsystems.
- Work with architecture, firmware and software teams to drive feature closure and develop micro-architecture specifications.
- Drive design methodology, libraries, debug, code review in coordination with other IPs Design Verification (DV) teams and physical design teams.
- Identify and drive power, performance and area improvements for the domains owned.