Staff Software Engineer, On-Device Machine Learning

Google LLC; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Bonus 20% target

Equity

Benefits

Job summary

Google LLC seeks a Staff Software Engineer specializing in On-Device Machine Learning in Sunnyvale, CA. The role emphasizes leadership in ML design, model deployment, and end-to-end optimization across devices. Collaboration across teams and hands-on development in C++ are expected.

The position targets engineers with senior-level expertise in large-scale ML systems and device-specific AI acceleration, poised to drive Google AI Edge initiatives.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with software development in C++.
• 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).

Skills

C++

Software development

Machine Learning

Leadership

Model deployment

Education

Bachelor's degree or equivalent practical experience

Job description

Staff Software Engineer, On-Device Machine Learning

Share Staff Software Engineer, On-Device Machine Learning

corporate_fare Google place Sunnyvale, CA, USA

X In most instances, this position requires in-person interviews as part of the hiring process.

• 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).

Preferred qualifications:

• 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.

About the job

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.

Google AI Edge enables developers and Google products to deploy AI across mobile, web and embedded with with our AI edge stack (ai.google.dev/edge) - from low-code APIs to hardware specific acceleration libraries to achieve leading performance and device optionality at scale. Our team focuses on cross-platform infrastructure and solutions serving all of Google AI's biz needs.

We serve Google's flagship apps across Android, iOS and Web with infrastructure, models and solutions (YouTube Shorts/Meet/Photos/Translate/Messages, etc.). We enable GDM with 0-day Gemma launches (Gemma 3n and 4 and variants such as EmbeddingGemma), and support our platforms (Chrome/Android) and Devices (Pixel/Watch). We also enable third-party developers and the ecosystem.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

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.

Google AI Edge enables developers and Google products to deploy AI across mobile, web and embedded with with our AI edge stack (ai.google.dev/edge) - from low-code APIs to hardware specific acceleration libraries to achieve leading performance and device optionality at scale. Our team focuses on cross-platform infrastructure and solutions serving all of Google AI's biz needs.

We serve Google's flagship apps across Android, iOS and Web with infrastructure, models and solutions (YouTube Shorts/Meet/Photos/Translate/Messages, etc.). We enable GDM with 0-day Gemma launches (Gemma 3n and 4 and variants such as EmbeddingGemma), and support our platforms (Chrome/Android) and Devices (Pixel/Watch). We also enable third-party developers and the ecosystem.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.