Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in computational photography/computer vision.
- 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.
- 3 years of experience in computer vision/computational photography algorithm development.
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.
- Passionate for productionizing the computational photography technologies.
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.
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 $166,000-$244,000 + 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.
Responsibilities
- Develop CV/ML algorithms for imaging/video pipelines, including multi-frame burst processing, noise calibrations, denoising, artifact reduction, hdr tone-mapping, video stabilization, video temporal denoising, content-aware sharpening, scene understanding.
- Develop robust tools for benchmarking and characterizing image and video quality. This involves assessing changes resulting from software pipeline or ISP configuration adjustments, and thoroughly evaluating camera software frameworks to guarantee optimal performance, stability, and reliability.
- Apply excellent programming skills or machine learning knowledge to optimize the algorithms for computational photography challenges in edge devices.
- Prototype and evaluate research papers in computational photography, computer vision, graphics, and machine learning/gen ai.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also
Google's EEO Policy and
EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our
Accommodations for Applicants form.