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Required Hardware/Silicon Engineering PhD Intern, 2027
Please complete your application before 23rd October 2026.
We encourage you to apply as early as possible as we review applications on a rolling basis.
This internship is intended for students in their second or final year of education in an accredited full-time PhD degree program in Israel. Participation in the internship program requires that you are located in Israel for this role for the duration of the internship program. Interns will be required to be available to work full-time for a minimum of 13 weeks over the Summer 2026 (starting in May, June or July) for the duration of the program. Individuals applying for this position will not be eligible for immigration sponsorship.
About the job
The Cloud and AI Infrastructure team in Israel focuses on building our next-generation systems. The teams work is grounded in creating custom hardware, and as an Intern you'll get to collaborate with engineers from various parts of the organisation to influence the future of Cloud and the AI infrastructure by working on the foundational technology that makes it all possible. This is the hardware that powers everything from Cloud, to our most advanced models like Gemini.
As an intern, you will work on fundamental problems at the intersection of hardware, software, and algorithms. You will collaborate with exceptional engineers and researchers on projects that directly impact our custom silicon portfolio, including general-purpose CPUs, highly specialized AI accelerators like our Tensor Processing Units (TPUs), and complex Systems-on-a-Chip (SoCs). Your responsibilities and projects will be tailored to your expertise and could focus on any part of the system stack. This may include:
Algorithmic Innovation: Developing and analyzing new algorithms that are deeply co-designed with our custom hardware.
Software and Compilers: Building the software stack, compilers, and performance analysis tools that unlock the potential of our unique architectures.
System Architectureand and Modeling: Architecting and modeling future CPUs, TPUs, and SoCs to guide critical design decisions.
Hardware Design and Verification: Contributing to all aspects of silicon creation, from logic design and verification to VLSI physical implementation.
Responsibilities
Responsibilities and detailed projects will be determined based on your educational background, interest, and skills.