Software Engineer III, Machine Learning, Camera

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 in an industry setting.
  
• 2 years of experience with data structures or algorithms.
  

Preferred qualifications:

• Master's degree in Computer Science or Electrical Engineering, or a related field.
  
• 5 years of experience in the relevant industry.
• Experience in image processing, computer vision, and computational photography development.
• Experience with Machine Learning (ML) based image processing model design.

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.

In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Responsibilities

• Develop, implement, and deploy Imaging Signal Processing (ISP) features aligned with emerging camera technologies.
• Develop camera ISP Machine Learning (ML) model design to achieve image quality, latency, and power targets.
• Collaborate with related teams including the silicon, hardware, software, research, and camera tuning teams to develop novel solutions to achieve quality and performance targets for commercialized products.