ASIC/SoC System Level Test Engineer

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, particularly working with TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications.

The position involves developing and automating system-level manufacturing tests for ASIC's and SoC's, 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 role offers an opportunity to work on cutting-edge technology that powers Google's AI infrastructure, including the development of custom silicon solutions. You'll be contributing to products used by billions of people worldwide, focusing on TPU architecture and its integration within AI/ML-driven systems.

Key responsibilities include developing System Level Test solutions, partnering with data center teams, evaluating device yield and performance, and integrating test solutions with manufacturing processes. The position requires expertise in Python, Linux/Unix, and system validation, with a strong background in electrical engineering or computer science.

The compensation package includes a competitive base salary range of $132,000-$189,000, plus bonus, equity, and comprehensive benefits. Google offers a collaborative work environment and the chance to impact global technology infrastructure, particularly in AI and machine learning domains.

This role is based in Sunnyvale, CA, and is part of Google's broader mission to advance AI/ML capabilities through hardware innovation. The position combines technical expertise with strategic thinking, requiring both hands-on engineering skills and the ability to collaborate across multiple teams.

Google maintains a strong commitment to diversity and inclusion, offering equal employment opportunities and fostering a culture of belonging. The role provides an excellent opportunity for professional growth while contributing to groundbreaking technological advancements in AI hardware acceleration.