Senior Software Engineer, Computational Photography and HDR+, Pixel and XR Camera, Mobile (Android)
✨ AI Summary
Google is hiring a Senior Software Engineer to design and optimize computational photography and HDR+ algorithms for Pixel and XR devices. The role focuses on C++, GPU compute, and on-device ML to enhance image quality across mobile hardware. Candidates require a Bachelor's degree, 5 years of C/C++ experience, and 3 years of Android development. The position is based in Mountain View, CA, with a salary range of $174,000 to $252,000 plus bonus and equity.
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.
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, upsampling, 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.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of coding experience in C/C++ programming.
- 3 years of experience with Android application development.
Preferred qualifications:
- 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.
- Experience in digital image processing, digital signal processing, and linear algebra.
- Knowledge of imaging pipeline or computational photography.
- Demonstrated interest in photography and videography.
About the Company
Google is a technology company that specializes in Internet-related services and products, which include online advertising technologies, a search engine, cloud computing, software, and hardware. It is considered one of the Big Five American information technology companies, alongside Amazon, Apple, Meta, and Microsoft.
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