{"schemaVersion":"jobsearcher.job.v1","id":"0ed8331d5ec1fbae6de1b718","url":"https://jobsearcher.com/jobs/0ed8331d5ec1fbae6de1b718","canonicalUrl":"https://jobsearcher.com/jobs/0ed8331d5ec1fbae6de1b718","title":"Silicon Microarchitecture Engineer, DeepMind","description":"Minimum qualifications\n\nBachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.\n\n10 years of experience in RTL design in Verilog/System Verilog.\n\n5 years of experience in micro-architecture definition.\n\nPreferred qualifications\n\nExperience in physical design.\n\nKnowledge of high-performance and low-power architectures for ML acceleration.\n\nKnowledge of transformer-based large language models.\n\nKnowledge of processor core SoC integration.\n\nKnowledge or understanding of high level synthesis.\n\nAbout The Job\nBe 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.\n\nArtificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.\n\nWe are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.\n\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.\n\nUS: $256000 - $279000 (USD) + 20% bonus target\n\nResponsibilities\nLearn more about benefits at Google.\n\nWork in a fast and interdisciplinary team bringing together experts from Machine Learning, Hardware, Programming Languages, and Systems.\n\nParticipate in high performance machine learning accelerator architecture, micro-architecture, and RTL design.\n\nSelect and integrate in-house and third party IP.\n\nExplore various trade-offs of future architecture designs in terms of performance, power, energy, and area.\n\nGoogle 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 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.\n\n#J-18808-Ljbffr","company":"Google Deepmind","rawCompany":"google deepmind","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:37:15.445Z","occupations":[{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"334413","title":"Semiconductor and Related Device Manufacturing","slug":"semiconductor-and-related-device-manufacturing"},{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Silicon Microarchitecture Engineer, DeepMind","description":"Minimum qualifications\n\nBachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.\n\n10 years of experience in RTL design in Verilog/System Verilog.\n\n5 years of experience in micro-architecture definition.\n\nPreferred qualifications\n\nExperience in physical design.\n\nKnowledge of high-performance and low-power architectures for ML acceleration.\n\nKnowledge of transformer-based large language models.\n\nKnowledge of processor core SoC integration.\n\nKnowledge or understanding of high level synthesis.\n\nAbout The Job\nBe 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.\n\nArtificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.\n\nWe are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.\n\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.\n\nUS: $256000 - $279000 (USD) + 20% bonus target\n\nResponsibilities\nLearn more about benefits at Google.\n\nWork in a fast and interdisciplinary team bringing together experts from Machine Learning, Hardware, Programming Languages, and Systems.\n\nParticipate in high performance machine learning accelerator architecture, micro-architecture, and RTL design.\n\nSelect and integrate in-house and third party IP.\n\nExplore various trade-offs of future architecture designs in terms of performance, power, energy, and area.\n\nGoogle 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 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.\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:37:15.445Z","dateModified":"2026-07-16T03:37:15.445Z","hiringOrganization":{"@type":"Organization","name":"Google Deepmind","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0ed8331d5ec1fbae6de1b718"},"url":"https://jobsearcher.com/jobs/0ed8331d5ec1fbae6de1b718"}}