Minimum qualifications Bachelor s degree in Electrical Engineering Computer Engineering Computer Science a related field or equivalent practical experience 8 years of experience in Application-Specific Integrated Circuit ASIC development with power optimization Experience with low power schemes power roll up and power estimations Experience in ASIC design verification synthesis timing analysis Preferred qualifications Experience with coding languages e g Python or Perl Experience in System on a Chip SoC designs and integration flows Experience with power optimization and power modeling tools Knowledge of high performance and low power design techniques 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 part of a team developing Application-Specific Integrated Circuits ASICs used to accelerate machine learning computation in data centers You will collaborate with members of architecture verification power and performance physical design etc to specify and deliver quality designs for next generation data center accelerators You will also solve problems with micro-architecture and practical reasoning solutions and evaluate design options with performance power and area in mind 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 Participate in defining power management schemes and low power modes Create power specifications and Unified Power Format UPF definition for System on a Chip SoC and subsystems Estimate and track through all phases of the project Run power optimization tools suggest ways to improve power and drive convergence Work with cross-functional teams for handoff of power intent and power projections Google is proud to be an equal prospect 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 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 Soc Low Power Engineer, Front-end, Google Cloud (Karnataka)
🏢 Important Company of the Sector
📍 Karnataka