Senior Software Engineer, Computational Photography and HDR+, Pixel and XR Camera, Mobile (Android)

About the role

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:

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.

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.

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.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• 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.