Software Engineer, Computational Photography, Pixel Camera
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Job Details
Google welcomes people with disabilities.
Minimum qualifications:- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, and with data structures or algorithms.
- 2 years of experience with machine learning algorithms and tools, artificial intelligence, deep learning and camera related domains, (e.g., computational photography).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- Experience in image/signal processing, computer vision, or machine learning, with a proven track record of applying these skills to solve complex problems.
- Expertise in one or more camera or image disciplines, such as tone mapping, color science, camera optics, or subjective image quality assessment.
- Passion for photography.
- Excellent communication skills with the ability to collaborate effectively in a multidisciplinary, fluid environment.
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.
In this role, you will have the opportunity to shape the future of mobile photography by working on core algorithms on Pixel products. Your work will directly enhance the photography and cinematography experience for Pixel users. This involves both improving image quality and creating innovative computational photography features.
You will be responsible for the end-to-end development of solutions, from algorithm design and implementation to quality evaluation, performance optimization, and ultimately, deployment to Pixel devices. You will collaborate with a diverse team of software engineers, hardware engineers, researchers, and image scientists across the Google to push the boundaries of the modern mobile imaging system, commercialize new features, and develop the architecture for the future products. You will play a key role in driving projects forward and demonstrating leadership.
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.
- Develop novel image processing technologies to power new camera features and push Image Quality (IQ) boundaries.
- Apply your expertise in computational photography and/or machine learning to create groundbreaking advancements in mobile photography.
- Lead the full-cycle of algorithm development, from ideation and proof-of-concept to on-device implementation, optimization, integration, rigorous testing, validation, and ultimately, delivering delightful experiences to our users.
- Contribute to shaping the distinctive look and feel of Pixel photography.
- Collaborate closely with product teams to define issue statements and work alongside hardware, software, firmware, and research teams to prototype, integrate, and optimize algorithms that leverage the full potential of our hardware capabilities.