Software Engineer, Computer Vision and Applied ML, Silicon

Minimum Qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming language (C++ or Python).

Preferred Qualifications:

• Master's degree in Electrical Engineering, Physics, Mechanical Engineering, Computer Science or a related field.
• Experience across multiple development domains, including ISP (Image Signal Processor) processing, Android application development, Desktop program development, Machine Learning application development, and Web-based application development.
• Experience with the end-to-end product development life-cycle for mobile phones, particularly concerning camera features.
• Experience with the AI application integration and ML model fine-tune and optimization.

Experience across multiple development domains, including ISP (Image Signal Processor) processing, Android application development, Desktop program development, Machine Learning application development, and Web-based application development.

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's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

• Build responsive Web Apps and Mobile Apps to host the AI models to host AI models.
• Develop a Video Analysis Viewer that allows side-by-side comparison of "Input Video" vs. "Processed Output" to visualize model performance.
• Implement real-time inference loops, or on-device mobile inference engines.
• Develop Live Instruction Indicators, create AR-style overlays and visual guides on the live camera feed to direct users (e.g., move camera left, hold steady, object detected).
• Develop foundation models specifically for multimedia use cases. Optimize models for edge deployment (Quantization, Pruning, Distillation) to ensure low latency on mobile devices and web browsers.