ML Modeling Engineer

ML Modeling Engineer _corporate_fare_ Google _place_ Bengaluru, Karnataka, India **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. **Minimum qualifications:** + Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. + 8 years of experience in C or C++ or Python programming. + 8 years of experience in reference model development and silicon design trade-off. **Preferred qualifications:** + Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. + Experience with processor core architectures (such as ARM, x86, RISC-V, etc.) and IPs commonly used in SoC designs. **About the job** 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. As a Silicon Engineer, you will work closely with architects, implementation designers, verification engineers and software engineers for providing bit-accurate system c-models and specifications. You will have experience in ML/AI accelerator development and a good understanding in SoC development along with software design expertise. In this role, you will help develop c-model architecture for ISP ML accelerators. You will create and maintain a software environment for reference ML accelerator c-models. You will develop a system model that expands the team to work across organizations for ML accelerator integration. **Responsibilities** + Create and drive software architecture for ML accelerator. + Implement, modeling, analyzing and testing ML accelerator. + Develop software environment for ISP ML accelerator development and simulation. + Lead on delivery of ISP ML accelerator c-models for implementation, verification. + Collaborate with partner teams to integrate the ML accelerator into compiler software environment. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. 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