Silicon Design Engineer, PhD, University Graduate

Minimum qualifications:

• PhD degree in Electrical or Computer Engineering, a related field, or equivalent practical experience.
• Experience in digital or physical silicon design, demonstrated through internships, academic research, and publications.
• Experience in any one hardware description language (e.g., Verilog, SystemVerilog) and one scripting language (e.g., Python, Perl).

Preferred qualifications:

• Research experience in advanced topics such as heterogeneous computing, low-power design, or advanced packaging.
• Experience with hardware performance modeling and analysis.
• Experience with publications in peer reviewed journals, and conferences.
• Familiarity with industry-standard design tools for simulation, synthesis, physical design, and verification.
• Ability to communicate complex technical concepts effectively.

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.

As a PhD Silicon Engineer, you will investigate and implement novel approaches to optimize performance, power, and area. You will collaborate closely with cross-functional teams, including product groups, to translate findings into impactful silicon solutions that enhance user experience. You will also contribute to the development of design methodologies and automation flows that accelerate the design process.

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.

The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

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.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.

Responsibilities

• Drive and develop innovative solutions in digital and physical silicon design, encompassing areas such as microarchitecture, circuit design, and physical implementation.
• Develop and implement advanced modeling and simulation techniques to analyze and optimize system performance, power consumption, and thermal characteristics.
• Participate in the design, verification, and validation of complex silicon systems, including RTL coding, functional verification, synthesis, and physical design.
• Contribute to the development of design methodologies and automation flows that improve efficiency and accuracy.
• Collaborate with cross-functional teams to translate research findings into practical silicon solutions.