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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer, On-Device Machine Learning - **Company:** Google LLC - **Location:** Sunnyvale, CA, United States - **Experience:** Experienced - **Salary:** $207,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Bioinformatics, C++ (Programming Language), Data Structures, Software Debugging, Programming Tools, Distributed Systems, Design of User Interfaces, Push Technology, Information Retrieval, Machine Learning, Natural Language Processing, Software Architecture, Software Engineering, Systems Architecture, Data Processing, Data Storage Technologies, Model Validation, Discretization, AI Platforms, Information Technology, Search Engines, Machine Learning Operations - **Published:** October 21, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3462160964&tx=YT808CYV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * Bachelor's degree or equivalent practical experience. * 8 years of experience in software development. * 5 years of experience with software development in C++ programming language. * 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. * 5 years of experience leading ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning)., * Master's degree or PhD in Engineering, Computer Science, or a related technical field. * 8 years of experience with data structures and algorithms. * 3 years of experience in a technical leadership role leading project teams and setting technical direction. * 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. * Experience in deploying on-device Machine Learning models. ## Description Google'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., * Enable one or more areas in Google AI Edge Developer Tools such as AI Edge Gallery (Gemma's showcase app for on-device Gemma 0-day), Developer Device Platform (Device farm with AI, enabling developers to test/eval/deploy apps and models across device), and AI Edge Eval (innovative eval framework for on-device model and harness). * Train task-specific models of in-app AI enabling Gemma model/runtime co-design (quantization, conversion), build industry-leading on-device AI solutions (voice translate, generative image editing) * Enable tooling of GTM for on-device Gemma 0-day (AI Edge Gallery), helping developers to test/eval/deploy across devices. * Enable on-device deployment of key models across various accelerators (GPU/Pixel TPU/NPUs/CPU) on Android, Chrome, and more. * Improve performance of on-device model inference via optimizations in the model presentation, on-device runtime and kernel implementation. 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See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. 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