• Create software solutions that improve the hardware post-silicon testing process through automation. This includes, but is not limited to, developing and maintaining an Automatic Test Equipment (ATE) program development infrastructure for both production and development environments.

• Propose, design and implement software automation that directly addresses bottlenecks in today's post-silicon test flow, from Design for Testing (DFT) to ATE.

• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

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

• 5 years of industry experience with high performance, systems, and debugging.

• 5 years of experience in ATE tools, flows and methodologies.

• Experience in code and system health, diagnosis and resolution, and software test engineering.

• Experience in ATE test development, from DFT/Design Verification (DV) to ATE (e.g., Reset, Automatic Test Pattern Generation (ATPG), Memory Built-In Self Test (MBIST), or functional content development to ATE patterns).