Software Engineer, Computational Photography and Image Processing, AR

Minimum qualifications :

If you would like to know a bit more about this opportunity, or are considering applying, then please read the following job information.

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with one or more general purpose programming languages including but not limited to : Java, C / C++, Python, Objective C, JavaScript, or Go.
• 3 years of experience with computer graphic frameworks and libraries, including but not limited to OpenGL, DirectX, or Vulkan.
• Experience in computational imaging and image processing.

Preferred qualifications :

• Master's degree or PhD in Computer Science or related technical field.
• 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
• Experience developing accessible technologies.
• Experience with on-device performance image processing algorithms utilizing Vulkan based implementations.
• Experience working with camera software / hardware teams related to image quality.
• Proficiency in code and system health, diagnosis and resolution, and software test engineering.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Build novel computational photography, image / video processing algorithms, and deliver cutting edge solutions working in the intersection of real-time computer graphics, vision, and machine learning to enable next generation capabilities for AR and beyond.

The Google Augmented Reality team is a diverse group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences.

We're focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.

The US base salary range for this full-time position is $161,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location.

The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.

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

• Write product or system development code.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Lead the implementation of performant on-device image processing and computational photography algorithms.
• Interface with on-device graphics, camera software, and hardware teams to continuously track and improve quality of our algorithms.
• Work closely with R&D teams across AR and Google for the integration of algorithms.

J-18808-Ljbffr