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.
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.
Responsibilities
- Run, monitor, and analyze nightly Continuous Integration (CI) regression results.
- Design and implement new regression methods and supporting infrastructure/Graphical User Interface (GUI).
- Identify, debug, and report issues while performing initial root cause analysis and routing to IP owners.
- Develop and maintain tools for silicon validation and debug.
- Maintain and enhance automation infrastructure for various regression cadences.
Qualifications
Minimum qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
- 1 year of experience in post-silicon validation, SoC debug, or a similar role.
- Experience with Continuous Integration (CI) systems and regression management.
- Experience with lab equipment and platform bring-up.
- Experience in scripting languages such as Python for test automation, tool development, and data analysis.
Preferred qualifications:
- Experience developing software tools, including command-line interfaces and graphical user interfaces (GUIs).
- Experience with version control systems (e.g., Git).
- Experience with silicon screening or characterization processes.
- Familiarity with various Linux distributions and embedded environments like NERF, OVSS, EDK2, etc.
- Understanding of computer architecture, SoC design, and IP interfaces.
- Ability to debug hardware/software issues and perform root cause analysis in a silicon environment.