Senior Staff Software Engineer, AI Edge

Google; Sunnyvale (CA); On-site; USD 262,000 - 365,000; Full time

Job summary

Google in Sunnyvale is seeking software engineers to advance on-device ML across Android, Chrome, and embedded devices. You will work on task-specific models, optimization, and deployment across platforms.

The role emphasizes leadership in ML infrastructure, C++ performance, and cross-team collaboration to deliver scalable, privacy-preserving AI at device level.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years leading technical project strategy, ML design, and industry-scale ML infrastructure.
• 5 years of experience with design and architecture; testing/launching software products.
• Experience with ML infrastructure, C++, GPU programming, mobile GPU.

Responsibilities

• Train task-specific models of in-app AI (Gemma/Juno Nano), enabling Gemma model/runtime co-design (quantization, conversion), build on-device AI solutions.
• Enable developers to test/evaluate/deploy across devices (Edge Portal/Model Explorer/Developer Device Platform).
• Develop and guide critical projects in Google’s on-device ML infrastructure (LiteRT, LiteRT‑LM).
• Enable on-device deployment of models like Gemini Nano and Gemma across accelerators (GPU/Pixel TPU/NPUs/CPU) on Android, Chrome, and more.
• Improve performance of on-device model inference via optimizations in model representation, on-device runtime and kernel implementation.

Skills

8 years software development

7 years ML project strategy

5 years design and architecture

ML infrastructure, C++, GPU

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS/related field

Tools

TensorFlow Lite

ExecuTorch

Core ML

SNPE/QNN

Job description

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with design and architecture; and testing/launching software products.
• Experience with machine learning infrastructure, C++, performance, GPU programming, mobile GPU.

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• Experience with on-device ML Software Development Kits (SDKs)/tooling (e.g., TensorFlow Lite, ExecuTorch, Core ML, SNPE/QNN).
• In-depth knowledge of ML converters/compilers and runtimes, and hardware-accelerated ML inference techniques.
• Strong understanding of generative AI model architectures and their optimization for on-device execution.
• Proven track record of leading and delivering successful ML projects focused on on-device deployment (Android, iOS, web browsers, or embedded devices).

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 business needs.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.

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

US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Train task‑specific models of in app AI (tiny Gemma/Juno Nano), enabling Gemma model/runtime co‑design (quantization, conversion), build industry‑leading on‑device AI solutions (voice translate, generative image editing).
• Enable developers to test/evaluate/deploy across devices (Edge Portal /Model Explorer/Developer Device Platform).
• Develop and guide critical projects in Google's on-device ML infrastructure (e.g., LiteRT, LiteRT‑LM).
• Enable on‑device deployment of key models, such as Gemini Nano and Gemma, 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 representation, on‑device runtime and kernel implementation.

Google 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 .