Google is seeking an ASIC/SoC System Level Test Engineer to join their ML, Systems & Cloud AI (MSCA) organization. This role is crucial in shaping the future of AI/ML hardware acceleration, specifically working on TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. The position offers an opportunity to work on cutting-edge custom silicon solutions that drive Google's TPU development.
The role involves developing and automating system-level manufacturing tests for ASICs and SoCs, ensuring performance validation and quality control. You'll work closely with ASIC Architecture, Design, and Pre-silicon SoC Verification teams to define test methodologies and implement end-to-end manufacturing solutions. The position requires expertise in system level test, validation, and product engineering.
As part of the MSCA organization, you'll contribute to the infrastructure that supports all Google services and Google Cloud. The team prioritizes security, efficiency, and reliability while working towards advancing hyperscale computing. Your work will have a global impact on both software and hardware, including Google Cloud's Vertex AI platform.
The ideal candidate should have strong experience with ASIC/SoC prototype bring-up, debug, and functional verification, along with proficiency in Python and Linux/Unix environments. Knowledge of CPU architecture, boot processes, and secure ASIC/SoC manufacturing solutions is highly valued. The role offers competitive compensation, including base salary, bonus, equity, and comprehensive benefits.
This position presents an excellent opportunity for experienced engineers looking to work with advanced technology in AI/ML hardware acceleration and make a significant impact on Google's infrastructure and services. The role combines technical expertise with collaborative teamwork, making it ideal for professionals who enjoy working on complex technical challenges in a dynamic environment.