Senior Silicon Validation Engineer, Google Cloud

Google
Sunnyvale, CA, USA

About the job

In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.

Responsibilities

Own the bringup and NPI phases of the silicon development life-cycle and enable custom silicon products within platform infrastructure systems.

Integrate and validate complex hardware/software designs in pre-silicon through functional bringup.

Be responsible for developing the integration plan, coordinating hardware and software delivery, and creating necessary tests for validation.

Develop detailed test plans, based on design specifications and coordination with a cross-functional team (architecture, design, software, firmware).

Perform long-term system characterization and debug and help root-cause failures; provide feedback to improve features like power management quality, performance, and reliability through generations of designs. This includes pre-silicon prototyping platforms as well as through post-silicon bringup and production.

Design, develop, operate, and maintain software based validation tests.

Qualifications

Minimum

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.

5 years of experience in silicon validation, bringing up, characterizing, and qualifying silicon.

5 years of experience developing firmware, embedded software, or functional tests for silicon validation.

Experience with ASIC interfaces, memory systems (high-bandwidth memory), or power management system features and ASICs.

Preferred

Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.