The Silicon Engineer role at Google is designed for PhD graduates starting in 2027, focusing on shaping the future of AI and ML hardware acceleration. The position involves working on cutting-edge TPU technology that powers Google's AI applications. As part of the Chip Innovation Infrastructure team, the engineer will collaborate with various teams to develop custom silicon solutions and contribute to Google's custom silicon portfolio. This role emphasizes innovation and collaboration in a dynamic environment.

• PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• Experience in silicon engineering through internships, academic research, or publications.
• Proficiency in hardware description languages such as Verilog or SystemVerilog, or programming languages like Python, Tcl, Perl, or C++.

• Collaborate cross-functionally across hardware and software teams to research, design, and model custom silicon solutions and AI accelerators.
• Develop, simulate, and verify architectural features, digital blocks, or subsystem interfaces targeting performance, power, and area optimizations.
• Contribute to EDA design automation flows, tooling infrastructure, or post-silicon bring-up and characterization.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.