Silicon Engineering Intern, PhD, Summer 2027
Sunnyvale, CA, USA +2 · Internship · Posted Sep 14, 2026
- Location
- Sunnyvale, CA, USA
Austin, TX, USA
Madison, WI, USA - Education
- Currently pursuing a PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
About the job
Conduct research and engineering on foundational hardware, software, and algorithm problems that contribute to Google’s custom silicon portfolio, including AI accelerators and SoCs.
What you'll do
- Work on silicon engineering projects tailored to the intern’s educational background, interests, and skills.
- Collaborate with engineers and researchers across the organization on custom silicon and AI infrastructure.
What they ask for
- Currently pursuing a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
- Project or coursework experience in at least one silicon engineering area: architecture and RTL, verification and validation, physical design and circuits, systems, test, or CAD.
- Experience with scripting and programming languages such as Python, Tcl, Perl, or C++.
Nice to have
- Research experience in specialized areas such as high-performance/low-power architectures, DSAs/TPUs, memory hierarchies, interconnects, or advanced packaging/chiplets.
- Experience with CAD/EDA flows, ML for chip design automation, ML/DL architectures, industry-standard EDA tools, or research publications.
Pay
$110000 - $147000 USD base salary
Tools
Python, Tcl, Perl, C++, TPUs, CXL, PCIe, UCIe
AI focus
Work may involve AI infrastructure and specialized AI accelerators, including TPUs; preferred experience includes applying ML for chip design automation or evaluating AI accelerators.
Model-written summary · the original posting is authoritative