Join a pioneering team at Google Cloud, developing custom silicon solutions that propel Google's direct-to-consumer products into the future. Your contributions will be integral to innovations that delight millions globally.

This role is within the AI and Infrastructure team, dedicated to redefining technological possibilities. We empower Google customers through AI and Infrastructure at an unprecedented scale, ensuring efficiency, reliability, and velocity. Our reach extends to Googlers, Google Cloud customers, and billions of users worldwide.

We are the architects behind Google's transformative innovations, driving the development of cutting-edge AI models, delivering immense computing power to global services, and providing foundational platforms for developers. Our expertise spans software and hardware, shaping the future of hyperscale computing through key projects like TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, and systems research.

Develop and execute comprehensive post-silicon validation tests, working with hardware emulators and supporting bring-up processes from prototyping through production.

Lead in-depth debugging and investigation to resolve complex, cross-functional issues spanning pre-silicon prototyping, post-silicon bring-up, and production environments.

Ensure thorough functional coverage during validation to guarantee design integrity and confidence.

Contribute to the operation and maintenance of our hardware emulation platform, facilitating pre-silicon integration and validation efforts.

A Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a closely related discipline, coupled with equivalent practical experience, is required.

Significant experience of 8 years is necessary for functional silicon validation (utilizing languages like C, C++, or Python) or for developing embedded software.

Demonstrated experience in silicon bring-up, functional validation, characterization, and qualification of silicon is essential.

Proficiency with board schematics, layout principles, and debug methodologies using standard laboratory equipment is expected.