Software Engineer, On-Device Machine Learning

About this role

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA.

### Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 2 years of experience developing compilers.
• Experience in mobile development.

### Preferred qualifications:

• Experience 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 software development kits (SDKs)/tooling (e.g., TensorFlow Lite, ExecuTorch, Core ML, SNPE/QNN).
• Understanding of Generative AI model architectures and their optimization for on-device execution.
• Excellent communication and collaboration skills.
• Passion for innovation and a strong desire to push the boundaries of what's possible with on-device ML.

## 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 ...