Software Engineer, Computational Photography, XR Camera

Software Engineer, Computational Photography, XR Camera

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.

Our team is dedicated to delivering unparalleled photography quality and the best capture experiences for Camera users. We leverage computational photography and machine learning to develop the entire imaging pipeline. We own the imaging system end-to-end, encompassing core image quality, new feature development, on-device optimization, and robust development tooling. Our work involves close collaboration across functions with Extended reality (XR), Pixel Camera, System hardware abstraction layer (HAL), Vendor ISP, Product, and UX teams. This partnership enables novel technologies and significantly influences the future Google camera software and hardware roadmaps. Ultimately, we strive to maintain a reputation for groundbreaking camera capabilities, consistently pushing the boundaries of computational photography to empower users with exceptional imaging.

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.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

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 in computational photography/computer vision.
• 1 year of experience testing, maintaining, or launching software products.

Preferred Qualifications:

• Experience with optimization algorithm performance by GPU, NEON, Halide, DSP, etc.
• Experience with testing, profiling, benchmarking, and optimizing code for latency.
• Experience developing for low compute or power constrained Android devices.
• Experience with C/C++ build systems and tooling.
• Passion for productionizing the computational photography technologies.

Responsibilities:

• Develop algorithms/solutions for edge device (e.g., XR devices) imaging pipelines, including multi-frame burst processing, demosaicing, denoising, artifact reduction, high dynamic range (HDR) tone-mapping, and content-aware sharpening.
• Apply programming skills or machine learning knowledge to optimize the algorithms for computational photography issues in edge devices.
• Evaluate research papers in computational photography, computer vision, graphics, and Generative AI.