Minimum qualifications Bachelor s degree in Electrical Engineering Computer Engineering Computer Science or a related field or equivalent practical experience 5 years of experience in High Bandwidth Memory Double Data Rate HBM DDR Experience in silicon bringup functional validation characterizing and qualification Experience with board schematics layout and debug methodologies with using lab equipment Preferred qualifications Experience in hardware emulation with hardware software integration Experience in coding e g Python for automation development Experience in Register-Transfer Level RTL design verification or emulation Knowledge of SoC architecture including boot flows Knowledge of HBM DDR standards About the job 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 Tensor Processing Unit TPU projects You will create test plans and test content for exercising the various subsystems in the Artificial Intelligence Machine Learning AI ML System on a Chip SoC verify the content on pre-silicon platforms execute the tests on post-silicon platforms and triage and debug issues You will work 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 Responsibilities Develop and execute tests for memory controller High Bandwidth Memory HBM 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 cross-functional issues This includes pre-silicon prototyping platforms as well as post-silicon bringup and production Ensure validation provides necessary functional coverage for skilled 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 prospect 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 Google s EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation please let us know by completing our Accommodations for Applicants form

📌 Silicon Validation Engineer, Hbm, Google Cloud (Karnataka)
🏢 Leading
📍 Karnataka