Machine Learning Design Engineer, Silicon

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 8 years of experience with digital logic design principles, RTL design concepts, and languages, such as Verilog or SystemVerilog.
• Experience with logic synthesis techniques to optimize RTL code, performance and power, as well as low-power design techniques.

Preferred qualifications:

• Master's or PhD degree in Electrical Engineering, Computer Engineering or Computer Science.
• Experience with a scripting language like Perl or Python.
• Experience with ASIC or FPGA design verification, synthesis, timing/power analysis, and DFT.
• Knowledge of high-performance and low-power design techniques, assertion-based formal verification, FPGA and emulation platforms, and SOC architecture.
• Knowledge of memory compression, fabric, coherence, cache, or DRAM.

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.

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:

• Set technical direction for the team within the capacity of technical lead and people manager.
• Engage with Machine Learning System Architects and Software teams to define specifications and implement digital logic using Chisel, Verilog, and/or SystemVerilog.
• Engage with Verification and Silicon Validation teams to ensure functionality of the design.
• Perform power, area, and performance trade-offs of digital designs and architectures.
• Apply engineering best practices (e.g., code review, testing, refactoring) to the design and implementation of ASIC blocks.