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
- Contribute to developing and improving post-silicon test content that exercises both IP and SoC levels workloads and other compute-intensive scenarios.
- Collaborate with architecture, design, and firmware teams to define comprehensive validation plans for SoC features, focusing on power consumption, thermal management, sensors behavior, and performance metrics.
- Work closely with design and firmware teams to propose and implement solutions for optimizing SoC power efficiency and performance, including tuning core-to-memory latencies and bandwidth, power control loops, thermal control loops, etc.
- Develop and maintain automated test scripts and frameworks (primarily in Python) to improve validation efficiency and coverage.
- Participate in early silicon bring-up and platform bring-up activities, ensuring the stability and functionality of high-power multi-core SoCs.
Qualifications
Minimum qualifications:
- Bachelor's degree in Electrical/Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- 4 years of experience with functional tests for silicon validation (i.e., writing in C, C++ or Python, or similar).
- Experience in silicon bring-up, functional validation, characterizing, and qualifying silicon.
- Experience in debugging and triaging.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Familiarity with pre-silicon development environments (e.g., emulation, software modeling).