Job Information
Google Senior Silicon Validation Engineer, TPU, Google Cloud in Bengaluru, India
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:
Master's degree in Computer Science, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience.
Experience scripting in Python for automation development.
Experience in Register-Transfer Level (RTL) design, verification or emulation.
Experience in hardware emulation, including hardware/software integration (i.e., pre-silicon use of emulation and software-based test and diagnostics development).
Experience with power characterization, Peripheral Component Interconnect Express (PCIe), and Double Data Rate (DDR).
Knowledge of SoC architecture, including Boot flows.
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 diverse 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.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.