Bachelor's degree or equivalent practical experience.
5 years of coding experience in C/C++ programming.
3 years of experience with Android application development.
Experience designing and debugging computer vision or image processing algorithms is preferred.
Knowledge of imaging pipeline or computational photography is a plus.
Responsibilities
Design, prototype, and deploy computational photography and image signal processing algorithms.
Develop and optimize algorithms for detail rendering and artifact mitigation.
Bridge classical image processing with deep learning for neural network training.
Optimize algorithms for mobile compute architectures to meet performance targets.
Collaborate with cross-functional teams to co-design camera architectures and validate algorithms.
Benefits
15% bonus target
Equity benefits
Comprehensive health coverage
Generous paid time off
Professional development opportunities
Full Job Description
info_outline X In most instances, this position requires in-person interviews as part of the hiring process.
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 job
You will design and ship algorithms that directly shape perceived photo quality in the Pixel HDR pipeline - the processing that turns merged sensor data into the photo users see. This includes detail enhancement and sharpening, upsampling for zoom, semantic-aware enhancement driven by on-device ML, the tuning framework that adapts these algorithms for new sensors and lenses each Pixel device, and bring them to production on constrained mobile hardware. You will work across C , domain-specific image-processing languages, GPU compute, and ML frameworks, and partner with hardware and application teams to land features on the annual Pixel schedule.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
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.
About Google
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
