Pre-Silicon Validation Engineer, Cloud Silicon

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.

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 3 years of experience in architecture, hardware, digital design, and software co-design.
  
• 2 years of experience in Verilog/SystemVerilog.
  
• Experience in computer architecture and digital design or IP integration (e.g., Peripheral Component Interconnect Express (PCIe), Double Data Rate (DDR) memory).

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  
• 4 years of experience working on Field Programmable Gate Array (FPGA) platforms or Emulation platforms with IPs (e.g., Peripheral Component Interconnect Express (PCIe), Double Data Rate (DDR) memory, Gigabit Ethernet, Flash).
• Experience in developing architectures for machine learning accelerators.
• Experience in writing or debugging Verilog/Register-Transfer Level (RTL) code for ASIC/FPGA designs, waveform debug skills with knowledge of chip design flows.