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

Google•Mountain View, CA

10d•$174,000 - $252,000

About The Position

Google is hiring a Senior Software Engineer on the Pixel and XR Camera team to design and ship algorithms that shape photo quality in the Pixel HDR+ pipeline. The work focuses on processing merged sensor data into final images, including detail enhancement and sharpening, zoom upsampling, semantic-aware enhancement driven by on-device machine learning, and tuning algorithms for new Pixel sensors and lenses. The engineer will bring these algorithms to production on constrained mobile hardware, working across C++, domain-specific image-processing languages, GPU compute, and machine-learning frameworks, and partnering with hardware and application teams to meet the annual Pixel schedule. The role is part of the Google Pixel team, which combines artificial intelligence, software, and hardware to develop mobile devices and experiences. Google software engineers work on projects critical to Google's needs and are expected to bring fresh ideas, adapt across projects, demonstrate leadership qualities, and take on new problems across the full stack. The stated US compensation range is $174,000–$252,000, plus a 15% bonus target, equity, and benefits. Individual pay depends on job-related skills, experience, and relevant education or training.

Requirements

Bachelor's degree or equivalent practical experience.
At least 5 years of coding experience in C/C++.
At least 3 years of experience with Android application development.

Nice To Haves

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 pipelines or computational photography.
Demonstrated interest in photography and videography.

Responsibilities

Design, prototype, and deploy computational photography, image signal processing, and machine-learning algorithms for the mobile camera imaging pipeline.
Develop and optimize algorithms for detail and texture rendering, sharpening, upsampling, and mitigation of optical or sensor artifacts.
Develop differentiable imaging components for end-to-end neural-network training and hybrid on-device inference, bridging classical image processing and deep learning.
Optimize and integrate algorithms into production software across CPU, GPU, DSP, and custom neural accelerators to meet latency, memory, and power targets.
Collaborate with hardware, optics, silicon, systems, research, and image-quality evaluation teams to co-design camera architectures, enable new capabilities, and validate consistent, high-precision image quality across sensors.
Partner with hardware and application teams to deliver features on the annual Pixel schedule.