{"schemaVersion":"jobsearcher.job.v1","id":"99d5bd5be10dc1b86b66eabf","url":"https://jobsearcher.com/jobs/99d5bd5be10dc1b86b66eabf","canonicalUrl":"https://jobsearcher.com/jobs/99d5bd5be10dc1b86b66eabf","title":"Software Engineer, AI Application Engineering, Silicon","description":"Minimum qualifications:\nBachelor’s degree or equivalent practical experience.\n\n2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.\n\n1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.\n\n1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).\n\nPreferred qualifications:\nMaster’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.\nExperience with multimedia applications, video processing, or computer vision ML tasks.\nExperience building and scaling ML pipelines on cloud infrastructure (e.g., Google Cloud Platform) and deploying optimized models to edge devices (e.g., mobile, embedded systems).\nExperience with model optimization techniques for performance and latency reduction (e.g., quantization, pruning, hardware-aware tuning).\nFamiliarity with AI agent architectures, large language models (LLMs), or orchestration systems (e.g., LangChain, AutoGen).\nStrong understanding of distributed systems, system architecture, and toolchain development for engineering teams.\nAbout the job\nGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.\nOur AI engineering mission is to accelerate multimedia innovation from concept to silicon. We achieve this by building reliable toolchains, rapidly prototyping ML pipelines, and developing agentic multimedia verification workflows that validate our solutions for next-generation chips.\nGoogle'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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.\n\nUS: $147000 - $210000 (USD) + 15% bonus target + equity + benefits\n\nLearn more about benefits at Google.\nResponsibilities\nDesign and develop robust toolchains to support and accelerate multimedia AI activities.\nDevelop specialized AI agents and orchestration architectures to work together seamlessly on complex goals.\nImplement, deploy, and scale multimedia Machine Learning (ML) pipelines across Google Cloud and edge devices.\nOptimize machine learning models for improved performance, latency, and deployment efficiency.\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.","company":"Google","rawCompany":"google","city":"Mountain View","state":"HI","isRemote":false,"isActive":false,"createdAt":"2026-08-04T10:31:19.299Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer, AI Application Engineering, Silicon","description":"Minimum qualifications:\nBachelor’s degree or equivalent practical experience.\n\n2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.\n\n1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.\n\n1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).\n\nPreferred qualifications:\nMaster’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.\nExperience with multimedia applications, video processing, or computer vision ML tasks.\nExperience building and scaling ML pipelines on cloud infrastructure (e.g., Google Cloud Platform) and deploying optimized models to edge devices (e.g., mobile, embedded systems).\nExperience with model optimization techniques for performance and latency reduction (e.g., quantization, pruning, hardware-aware tuning).\nFamiliarity with AI agent architectures, large language models (LLMs), or orchestration systems (e.g., LangChain, AutoGen).\nStrong understanding of distributed systems, system architecture, and toolchain development for engineering teams.\nAbout the job\nGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.\nOur AI engineering mission is to accelerate multimedia innovation from concept to silicon. We achieve this by building reliable toolchains, rapidly prototyping ML pipelines, and developing agentic multimedia verification workflows that validate our solutions for next-generation chips.\nGoogle'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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.\n\nUS: $147000 - $210000 (USD) + 15% bonus target + equity + benefits\n\nLearn more about benefits at Google.\nResponsibilities\nDesign and develop robust toolchains to support and accelerate multimedia AI activities.\nDevelop specialized AI agents and orchestration architectures to work together seamlessly on complex goals.\nImplement, deploy, and scale multimedia Machine Learning (ML) pipelines across Google Cloud and edge devices.\nOptimize machine learning models for improved performance, latency, and deployment efficiency.\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.","datePosted":"2026-08-04T10:31:19.299Z","dateModified":"2026-08-04T10:31:19.299Z","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"HI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"99d5bd5be10dc1b86b66eabf"},"url":"https://jobsearcher.com/jobs/99d5bd5be10dc1b86b66eabf"}}