{"id":"1473122153","title":"Software Engineer, On-Device Machine Learning","posted_at":"2026-08-12T09:08:51.000Z","apply_url":"https://careers.google.com/jobs/results/116968495685477062-software-engineer-on-device-machine-learning/","locations":["Sunnyvale, CA"],"employment_type":null,"workplace_type":null,"seniority_level":"entry","description_language":null,"source_name":"google","source_url":"https://careers.google.com/jobs/results/116968495685477062-software-engineer-on-device-machine-learning/","salary":null,"job_summary":null,"job_description":null,"description_text":"- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).\n- Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.\n- Develop LiteRT, Google's on-device AI framework for first- and third-party, enabling state-of-the-art (SOTA) hardware acceleration and use cases on edge platforms.\n- Enable on-device deployment of key models, such as Gemini Nano and Gemma, across various accelerators (GPU/Pixel TPU/NPUs/CPU) on Android, Chrome, iOS, desktop, and more.\n- Improve performance of on-device model inference via optimizations in the model symbol, on-device runtime and kernel implementation.\n\n**Minimum qualifications:**\n\n- Bachelor's degree or equivalent practical experience.\n- 5 years of experience with software development in one or more programming languages.\n- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).\n- 2 years of experience developing compilers.\n- Experience in mobile development.\n\n**Preferred qualifications:**\n\n- Experience leading and delivering successful ML projects focused on on-device deployment (Android, iOS, web browsers, or embedded devices).\n- 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