PhD Silicon Hardware Intern — SoC & AI Accelerators

Google; Madison (WI); On-site; USD 110,000 - 147,000; Full time

Job summary

Google is offering a PhD internship for students in their penultimate year pursuing a PhD in Electrical Engineering, Computer Engineering, or Computer Science. The program focuses on silicon engineering, hardware-software co-design, and advanced ML/AI accelerator research, with locations in Sunnyvale, Austin, and Madison.

Applicants must be in the US, proficient in English, and able to work 12 weeks full-time; include CV, transcript, anticipated graduation, and preferred site.

Qualifications

• Currently pursuing a PhD in Electrical Engineering, Computer Engineering or Computer Science.
• Project or coursework in silicon engineering areas (architecture/RTL, verification, physical design, systems, CAD).
• Experience with scripting/programming languages such as Python, Tcl, Perl, or C++.

Responsibilities

• Work on foundational hardware-software co-design problems for Google Cloud AI infrastructure.
• Collaborate with engineers and researchers on projects affecting custom silicon portfolios and AI accelerators.
• Contribute to systems research and development across the hardware/software stack.

Skills

PhD candidate

Python

Tcl

Perl

C++

Education

PhD candidate in Electrical Engineering / Computer Engineering / Computer Science

Tools

Synopsys

Cadence

Siemens EDA

Emulation platforms

Job description

Google is offering a PhD internship for students in their penultimate year pursuing a PhD in Electrical Engineering, Computer Engineering, or Computer Science. The program focuses on silicon engineering, hardware-software co-design, and advanced ML/AI accelerator research, with locations in Sunnyvale, Austin, and Madison.

Applicants must be in the US, proficient in English, and able to work 12 weeks full-time; include CV, transcript, anticipated graduation, and preferred site.