Silicon Engineering Intern, 2025

Google is seeking a Silicon Engineering Intern to join their innovative hardware team for 2025. This internship offers a unique opportunity to work at the intersection of hardware and software engineering, focusing on the development of cutting-edge computing infrastructure that powers Google's services worldwide.

As an intern, you'll be immersed in the complete lifecycle of hardware development, from low-level circuit design to large-scale system implementation, ultimately seeing your work through to high-volume manufacturing. You'll collaborate with a diverse team of experts, including architects, implementation designers, verification engineers, and software engineers, working on projects that directly impact the efficiency and performance of Google's data centers.

The role requires a strong academic background in Electrical Engineering, Computer Engineering, or Computer Science at the Master's or PhD level. You'll need proficiency in programming languages like Python, C, or C++, and ideally have experience with hardware acceleration technologies, compiler design, and AI/ML frameworks. This position offers exposure to cutting-edge technologies including XPU architectures, deep learning frameworks like TensorFlow and PyTorch, and advanced processor design principles.

This internship presents an exceptional opportunity to work with one of the world's leading technology companies, where your contributions will have the potential to impact billions of users. You'll be part of Google's continuing legacy of technological innovation, working alongside talented engineers who are pushing the boundaries of what's possible in computing infrastructure.

The position offers hands-on experience in silicon engineering, providing valuable industry exposure and the chance to work on real-world projects that shape the future of Google's hardware infrastructure. Whether you're interested in architecture modeling, performance optimization, or system design, this internship will provide the perfect platform to apply your academic knowledge to practical, large-scale challenges.