Senior Software Engineer, Computational Photography and HDR+, Pixel and XR Camera, Mobile; Android

Share Senior Software Engineer, Computational Photography and HDR+, Pixel and XR Camera, Mobile (Android)

Google Mountain View, CA, USA

X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor's degree or equivalent practical experience.

5 years of coding experience in C/C++ programming.

• 3 years of experience with Android application development.

• Experience designing, implementing, and debugging computer vision, image processing, signal processing, or computational photography algorithms.
• Experience in imaging related development on CPU, GPU, or DSP.
• Knowledge of imaging pipeline or computational photography.
• Demonstrated interest in photography and videography.

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.

You will design and ship algorithms that directly shape perceived photo quality in the Pixel HDR+ pipeline — the processing that turns merged sensor data into the photo users see. This includes detail enhancement and sharpening, up sampling for zoom, semantic-aware enhancement driven by on-device ML, the tuning framework that adapts these algorithms for new sensors and lenses each Pixel device, and bring them to production on constrained mobile hardware.

You will work across C++, domain-specific image-processing languages, GPU compute, and ML frameworks, and partner with hardware and application teams to land features on the annual Pixel schedule.

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.

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

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Design, prototype, and deploy innovative computational photography, image signal processing, and machine learning algorithms to advance the mobile camera imaging pipeline.
• Develop and optimize algorithms for detail and texture rendering, sharpening, up sampling, and optical or sensor artifact mitigation.
• Bridge classical image processing and deep learning by developing differentiable imaging components for end-to-end neural network training and hybrid on-device inference.
• Optimize and integrate algorithms into production software across mobile compute architectures (CPU, GPU, DSP, and custom neural accelerators) to meet strict latency, memory, and power targets.
• Collaborate with cross-functional teams (including hardware, optics, silicon, systems, research, and image quality evaluators) to co-design future camera architectures, enable new capabilities, and validate algorithms for consistent, high-precision image quality across sensors.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status,…