Silicon Engineering Intern – Hardware & AI Accelerators

Google; Austin (TX); On-site; USD 110,000 - 147,000; Full time

Job summary

Google's Cloud and AI Infrastructure team invites interns to work on foundational hardware, software, and algorithm problems, contributing to TPUs and SoCs.

You will collaborate with engineers across the organization, with roles tailored to your background and can impact Google’s silicon portfolio. This internship requires US residency for duration and is intended for penultimate-year PhD students in related fields.

Qualifications

• Pursuing PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
• Experience in silicon engineering areas: architecture/RTL, verification and validation, physical design and circuits, systems, CAD.
• Experience with scripting and programming languages such as Python, Tcl, Perl, or C++.

Responsibilities

• Responsibilities and projects will be determined by your educational background, interests, and skills.

Skills

Python

Tcl

Perl

C++

Education

PhD candidate in Electrical Engineering, Computer Engineering, Computer Science, or related field

Tools

EDA tools (Synopsys, Cadence, Siemens EDA)

Job description

Google's Cloud and AI Infrastructure team invites interns to work on foundational hardware, software, and algorithm problems, contributing to TPUs and SoCs.

You will collaborate with engineers across the organization, with roles tailored to your background and can impact Google’s silicon portfolio. This internship requires US residency for duration and is intended for penultimate-year PhD students in related fields.