SoC and IP Design Engineer, Google Cloud.

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 SystemVerilog.
• Experience with logic synthesis techniques to optimize RTL code, performance and power, as well as low-power design techniques.
• Experience with design sign-off and quality tools (e.g., Lint , CDC , etc.).
• Experience with SoC or IP architecture.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Knowledge of high-performance and low-power design techniques, assertion-based formal verification, Field-programmable Gate Array (FPGA) and emulation platforms, and SoC architecture.
• Knowledge in one of the following areas such as Double Data Rate (DDR)/Low Power Double Data Rate (LPDDR), High-bandwidth memory (HBM).
• Excellent problem-solving and debugging skills.

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 ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities:

• Define the block-level design document (e.g., interface protocol, block diagram, transaction flow, pipeline, etc.).
• Perform Register-Transfer Level (RTL) coding (coding and debug in Verilog, SystemVerilog), function/performance simulation debug, and Lint/CDC/FV/UPF checks.
• Participate in synthesis, timing/power closure activities.
• Participate in test plan and coverage analysis of the block and SoC-level verification.
• Communicate and work with multi-disciplined and multi-site teams.