Google welcomes people with disabilities. **Minimum qualifications:** + Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related technical field, or equivalent practical experience. + 8 years of experience in computer architecture concepts, including microarchitecture, multimedia architecture, processor architecture and silicon design. **Preferred qualifications:** + Master's degree or PhD in Computer Science, Electrical Engineering or a related technical field. + Experience in algorithms for the following areas: Camera ISP, Neural Network Processor Units, computer cores, and machine learning accelerators. + Experience collaborating cross-functionally with Product Management, SoC architecture, IP design and verification, camera, video, ML algorithm and software development teams. + Experience in architecting and designing low power multimedia and machine learning hardware IP for SoCs in the following areas: Camera ISP, video codecs, display and machine learning networks. + Experience in micro architecture, power and performance optimization. + Experience in interconnect/fabric, caching, and security architectures. 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. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. **Responsibilities:** + Collaborate with Google research and silicon product management to help define the product roadmap for camera Image Signal Processing (ISP) and machine learning capabilities on a SoC for a variety of Google devices. + Partner with camera ISP and Tensor Processing Unit (TPU) hardware IP design teams across global sites to drive the hardware IP architecture specifications into design implementation for SoCs. + Engage with SoC and System/Experience architects on meeting dynamic power, performance, and area requirements at the SoC level for multimedia and AI use cases and experiences. + Perform detailed data analysis and tradeoff evaluations to improve our hardware architecture solutions. + Define and deliver the hardware IP architecture specifications that meet power, performance, area and image quality goals, which will require owning the goals through to tape-out and product launch. 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/OFCCP_EEO_Post.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.