Join Our Innovative Team as a Silicon Validation Engineer at Google

Minimum Qualifications:

• Bachelor's degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering or equivalent practical experience.
• 3 years of experience in pre-silicon or post-silicon domains.
• 2 years of solid experience in silicon validation.

Preferred Qualifications:

• Proficiency in programming with C++ and scripting in Python/Perl/Tcl.
• Experience in complex system debug, embedded operating systems and bare metal programming.
• Advanced knowledge in Machine Learning (ML) inference of imaging, speech, text, and other AI workloads, and AI accelerators for mobile devices.
• Familiarity with Tensor/Neural Processing Units.
• Understanding of operating system fundamentals.

About the Job:

At Google, we face computational challenges that are so enormous and unique that off-the-shelf hardware solutions do not suffice. As part of our dynamic team, you will design and build hardware, software, and networking technologies that fuel all of Google's services. As a Silicon Validation Engineer, ML/AI, your role centers on designing and building systems starting from circuit design up to large system configurations and seeing those systems through to high-volume manufacturing. Your contributions will impact the machinery that powers our advanced data centers, thereby influencing millions of Google users globally.

We strive to combine the best of Google AI, Software, and Hardware to craft radically helpful experiences. We innovate to make computing faster, seamless, and more impactful, aiming to enhance people's lives through technology.

Responsibilities:

• Develop and execute test procedures to verify functionality of new silicon.
• Collaborate with cross-functional teams to debug failures in silicon, boards, software, and manufacturing.
• Provide ongoing updates about silicon health to platform, software and volume manufacturing teams.
• Plan, develop, and conduct tests to validate the TPU subsystem and its integration at the system level.
• Engage in validation of hardware accelerator engines for machine learning activities.

As a part of Google, you're expected to lead by example, fostering teamwork and innovation while embodying our mission to organize the world's information and make it universally accessible and useful.

If you are eager to be at the forefront of technology and innovation, apply today to become a Silicon Validation Engineer, ML/AI at Google.