Software Engineer, Camera ISP Frontend

ngineers 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.

We are building the camera system software layers which run below public Android camera APIs for Pixel phones, and offer full camera functionality for the Google Camera App and third-party camera apps. Camera system software builds up feature-sets and infrastructures that lay the foundation of delivering an industry leading mobile camera experience.

Our scopes include the following: Camera System Software that powers Pixel Camera features; Google ISP Software (i.e., ISP user space and kernel drivers); Google Camera Hardware Abstraction Layer (HAL); Advanced Multi-Camera Software Frameworks Camera sensor software components that support both camera and non camera use cases; and Pixel Camera Platform Health (i.e., Stability, Power, Performance, Memory).

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google's artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

Responsibilities

• Utilize camera software stack to support Android camera Hardware Abstraction Layer.
• Design and develop camera hardware drivers and firmware, as well as validating them on emulation and silicon.
• Participate in camera software and driver bring up on silicon.
• Optimize pixel camera system software performance, power, and memory.
• Use machine learning and computer vision algorithm development and integration.