Software Engineer, On-Device Machine Learning

Google; Town of Montana (WI); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google is seeking a Software Engineer for On-Device Machine Learning in Sunnyvale, CA. You will join a team building LiteRT, Google's on-device AI framework, enabling acceleration across edge devices and a range of platforms from mobile to embedded.

The role emphasizes collaboration, design reviews, and contributions to model optimization, data processing, and on-device deployment across GPUs, Pixel TPUs, NPUs, and CPUs. A strong background in ML frameworks and mobile development is preferred.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of software development experience or 1 year with an advanced degree.
• 2 years of ML infrastructure experience (model deployment/evaluation/processing).
• Experience with runtimes and performance tuning.
• Experience in mobile development.

Responsibilities

• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies.
• Implement solutions in ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
• Develop LiteRT, Google's on-device AI framework for first- and third-party use with hardware acceleration.
• Enable on-device deployment of models across accelerators (GPU/TPU/NPUs/CPU) on Android, Chrome, iOS, desktop, etc.
• Improve performance of on-device model inference via runtime and kernel optimizations.

Skills

Mobile development

ML deployment

Performance tuning

Software development

ML infrastructure

Education

Bachelor's degree or equivalent

Master's degree in CS or related

Tools

TensorFlow

PyTorch

JAX

Job description

Software Engineer, On-Device Machine Learning

Location: Sunnyvale, CA, USA

Experience Level: Mid

Overview

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.

About the Job

LiteRT is Google's on-device AI framework, succeeding TensorFlow Lite (TFLite). It improves the performance, efficiency, and portability of ML models across edge devices from mobile phones to embedded systems. LiteRT significantly upgrades GPU acceleration and introduces native NPU acceleration while maintaining and enhancing the robust CPU performance inherited from TFLite.

LiteRT enables developers and Google products to deploy AI across mobile, web, desktop, and embedded. Our team focuses on building cross-platform infrastructure aligned with Google's business needs, serving Google products (Android, Chrome, Photos, Meet, YouTube, etc.), third-party developers, and specialized Pixel solutions. Our goal is to provide on-device AI infrastructure with exceptional performance, enabling framework and device flexibility at scale.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• 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).


• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.


• Develop LiteRT, Google's on-device AI framework for first- and third-party, enabling SOTA hardware acceleration and use cases on edge platforms.


• 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.


• Improve performance of on-device model inference via optimizations in on-device runtime and kernel implementation.

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.


• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.


• 2 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).


• Experience with runtimes and performance tuning.


• Experience in mobile development.

Preferred Qualifications

• Master's degree or PhD in Computer Science or related technical fields.


• Experience in leading and delivering successful ML projects focused on on-device deployment (Android, iOS, web browsers, or embedded devices).


• Experience in ML frameworks (e.g., PyTorch, JAX, TensorFlow).


• Experience with on-device ML SDKs/tooling (e.g., TensorFlow Lite, ExecuTorch, Core ML, SNPE/QNN).


• Strong understanding of Generative AI model architectures and their optimization for on-device execution.


• Passion for innovation and a strong desire to push the boundaries of what's possible with on-device ML.

Salary and Benefits

• US Salary Range: $147,000 - $210,000 (USD) + 15% bonus target + equity + benefits


• Learn more about benefits at Google.

Additional Information

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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.

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