PhD Silicon Engineer Intern - 12-Week, Full-Time

Socket.dev

Sunnyvale (CA)

On-site

USD 110,000 - 147,000

Full time

6 days ago
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Job summary

Google Cloud and AI Infrastructure internship offers hands-on experience in the hardware-software-co-design space. You will collaborate with engineers to influence future Google Cloud hardware and AI accelerators, including TPUs and SoCs, across the system stack.

Interns work on fundamental problems at intersection of hardware and software, with projects tailored to expertise, contributing to Google's silicon portfolio and advanced accelerators.

Qualifications

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

Responsibilities

  • Responsibilities and detailed projects will be determined based on your educational background, interests, and skills.

Skills

Python
C++
Tcl
Perl
RTL design
Architecture
Verification

Education

PhD in EE/CE/CS

Tools

Synopsys
Cadence
Siemens EDA
Emulation platforms

Job description

Google Cloud and AI Infrastructure internship offers hands-on experience in the hardware-software-co-design space. You will collaborate with engineers to influence future Google Cloud hardware and AI accelerators, including TPUs and SoCs, across the system stack.

Interns work on fundamental problems at intersection of hardware and software, with projects tailored to expertise, contributing to Google's silicon portfolio and advanced accelerators.

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