Google

AI/ML Silicon Validation Engineer, TPU, Google Cloud

Posted On

April 8, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

April 24, 2025

Job Description

Develop and execute tests in post-silicon validation and on Hardware emulators and assist in bring-up processes from prototyping through post-silicon validation.
Drive debugging and investigation efforts to root-cause complex, cross-functional issues, including pre-silicon prototyping platforms as well as post-silicon bring-up and production.
Ensure validation provides necessary functional coverage for confident design.
Help operate and maintain our hardware emulation platform for pre-silicon integration and validation.

Minimum qualifications:

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
5 years of experience with functional tests for silicon validation (e.g., C, C++ or Python) or developing embedded software.
Experience in silicon bring up, functional validation, characterizing, and qualifying silicon.
Experience with board schematics, layout, and debug methodologies using lab equipment.

Preferred qualifications:

Experience in Scripting such as Python for Automation development.
Experience in Hardware emulation, including hardware/software integration (i.e., pre-silicon use of emulation and software-based test and diagnostics development).
Experience in RTL design, verification or emulation.
Experience with Power Characterization, PCIe, DDR.
Knowledge of SoC architecture, including boot flows.

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
5 years of experience with functional tests for silicon validation (e.g., C, C++ or Python) or developing embedded software.
Experience in silicon bring up, functional validation, characterizing, and qualifying silicon.
Experience with board schematics, layout, and debug methodologies using lab equipment.

In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.

In this role, you will be responsible for post-silicon validation of the Cloud TPU projects. You will create test plans and test content for exercising the various subsystems in the AI/ML SoC, verify the content on pre-silicon platforms, execute the tests on post-silicon platforms, and triage and debug issues. You will work closely with engineers from architecture, design, design verification, and software/firmware teams. You will be validating the functional, power, performance, and electrical characteristics of the Cloud Tensor Processing Unit (TPU) silicon to help deliver high-quality designs for next generation data center accelerators.

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.

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