About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

In this role, you will own System Verilog implementation, lead PPA (Power, Performance, Area) optimization experiments early on, and collaborate across the verification and physical design teams.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities

• Define the block-level design document (e.g., interface protocol, block diagram, transaction flow, pipeline, etc.).

• Perform RTL coding, function/performance simulation debug, and Lint/CDC/FV/UPF checks.

• Participate in synthesis, timing/power closure, and FPGA/silicon bring-up.

• Participate in test plan and coverage analysis of the block and ASIC-level verification.

• Communicate and work with multi-disciplined and multi-site teams.

Minimum qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.

• 4 years of experience with digital logic design principles, RTL design concepts, and languages, such as Verilog or System Verilog.

• 3 years of experience in ASIC design flows and methodologies, IP integration (e.g., subsystems, memories, IO's and Analog IP) and RTL design.

• Experience with logic synthesis techniques to optimize RTL code, performance and power, as well as low-power design techniques.

Preferred qualifications

• Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science.

• Experience working on memory controller/direct memory access (DMA).

• Experience with industry standard ASIC design tools for RTL lint, VCS, Verdi.

• Experience in AI accelerator design, data-path design.

• Knowledge of high-performance and low-power design techniques, assertion-based formal verification, FPGA and emulation platforms, and SOC architecture.