Job Description
In this role, you will work as a Physical Design Engineer focusing on the development of Tensor Processing Unit (TPU) technology for AI/ML applications. You will collaborate with various teams to optimize design performance, power, and area while contributing to the physical design of complex chips.
Requirements
- PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- Academic, educational, internship, or project experience with physical design.
- Experience in scripting using languages like Python, Tcl, Perl.
- Proficiency in fundamental SoC architecture and hardware description languages such as Verilog.
- Knowledge of fundamental VLSI and physical design principles, including expertise in semiconductor device physics and transistor structures.
- Understanding of Static Timing Analysis (STA), Clock Domain Crossings (CDC), clock/power distribution and analysis, RC extraction and correlation, place and route, circuit design and analysis.
- Understanding of standard cells, SRAMs, power, noise, and IR analysis.
Responsibilities
- Participate in the physical design of blocks for complex Tensor Processing Unit (TPU) chips.
- Contribute to the design and closure of the subchip and individual blocks from Register-Transfer Level-to-Graphic Design System (RTL2GDSII).
- Collaborate with RTL/Design and Product Development teams to achieve the best Power Performance Area (PPA) possible.
- Conduct feasibility studies for new micro-architectures and optimize runs for best Quality of Results (QoR).
Benefits
- Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.
