Senior Software Engineer, Pixel Camera App, Performance
Google· Internet & Cloud Services· Jul 30, 2026 · 3mo agoPosted 89 days ago
Mountain View, CA, USA · San Diego, CA, USA
In office
Full-time
Senior
$150K–$200K est.
5+ years exp
Before you apply
Ghost Signal:
Open 89 days.
Job description
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.
Google Camera is Pixel’s built-in camera app that brings the Google’s imaging and vision technology to the next generation of consumer hardware. We collaborate closely with multiple teams across many product areas, and provide a platform to ship their latest technologies.
In this role, you will collaborate with Camera pipeline and algorithm teams across both Pixel Camera app and underlying subsystems in order to ensure the performance and reliability of the entire Camera experience in both lab and field environments. You will use data to guide development teams in prioritizing the opportunities for improvement. You will identify anti-patterns and share best practices to maximize impact. You will contribute towards a Pixel Camera product worthy of industry and user accolades.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around 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 .
• Lead (often cross-team) initiatives to define, measure, optimize, and monitor key performance indicators in Pixel camera's android application code.
• Collaborate with camera feature and on-device ML teams to ensure features are optimized for speed, memory, and reliability.
• Develop and utilize telemetry data infrastructure to offer leadership insights crucial for verifiable high performance, reliability, and system health.
• Provide in-depth insights from advanced profiling tools to prioritize and validate improvements.
• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Java).
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with Android application development.
Minimum qualifications:
• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Java).
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with Android application development.
Preferred qualifications:
• Master's degree or PhD in Computer Science or related technical field.
• 3 years of experience shipping complex embedded software products.
• Experience with performance and memory optimization.
• Experience with TPU, GPU, and on-device ML models.
• Experience with SQL and data pipelines.
• Experience developing Linux systems, Android systems, or embedded systems.
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