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. The Android and Pixel Camera team is a collection of sub-teams organized around different parts of the camera stack, with some teams focused on Pixel specifically and some focused on the wider Android ecosystem, our mission is to build innovative software experiences on the Pixel phones that leads the entire Android ecosystem. We're a team that's passionate about building excellent cameras and camera experiences to delight our users, partnering with teams across Google. 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 the design, development, and implementation of core exposure control software and algorithms for the Pixel camera Auto Exposure. • Machine Learning (ML) Deployment: Develop, iterate, and deploy cutting-edge ML algorithms directly onto devices, focusing on constrained environments. Implement and experiment with different state of art ML algorithms and model architectures, including but not limited to LLM, deep learning, distillation, etc. • Drive cross-functional collaboration with internal Google teams, integrating environmental sensor data to enhance and assist camera performance across multiple projects, • Optimize the performance, power consumption, and memory footprint of the Pixel camera AE software stack to deliver a seamless user experience. • Contribute to the camera tuning process and final image quality evaluation of Google Pixel products. • Bachelor’s degree or equivalent practical experience. • 5 years of experience in low level systems programming languages (e.g. C++ or C). • 5 of years of experience in embedded systems or firmware design, with experience in camera 3A tuning and CMOS image sensor technologies. • 3 years of experience working with embedded operating systems. • 3 years of experience Machine Learning model development, optimization, and deployment. Minimum qualifications: • Bachelor’s degree or equivalent practical experience. • 5 years of experience in low level systems programming languages (e.g. C++ or C). • 5 of years of experience in embedded systems or firmware design, with experience in camera 3A tuning and CMOS image sensor technologies. • 3 years of experience working with embedded operating systems. • 3 years of experience Machine Learning model development, optimization, and deployment. Preferred qualifications: • Master's degree or PhD in Computer Science or related technical field. • 1 year of experience in a technical leadership role. • Experience deploying advanced ML architectures (e.g., deep learning, LLMs) for embedded systems, based on implementing and experimenting with algorithms, optimization, and deployment. • Experience with the Android camera framework, machine learning architecture, image processing, camera tuning, and integrating peripheral sensors like gyro, accelerometer, and ALS. • Ability with coding in C/C++ to optimize software stacks for performance, power consumption, and memory footprint.

Requirements

Must-haves

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Lead the design, development, and implementation of core exposure control software and algorithms for the Pixel camera Auto Exposure.
Drive cross-functional collaboration with internal Google teams, integrating environmental sensor data to enhance and assist camera performance across multiple projects,
Optimize the performance, power consumption, and memory footprint of the Pixel camera AE software stack to deliver a seamless user experience.
Contribute to the camera tuning process and final image quality evaluation of Google Pixel products.
Bachelor’s degree or equivalent practical experience.
5 years of experience in low level systems programming languages (e.g. C++ or C).
5 of years of experience in embedded systems or firmware design, with experience in camera 3A tuning and CMOS image sensor technologies.
3 years of experience working with embedded operating systems.
3 years of experience Machine Learning model development, optimization, and deployment.
Bachelor’s degree or equivalent practical experience.
5 years of experience in low level systems programming languages (e.g. C++ or C).
5 of years of experience in embedded systems or firmware design, with experience in camera 3A tuning and CMOS image sensor technologies.
3 years of experience working with embedded operating systems.
3 years of experience Machine Learning model development, optimization, and deployment.
1 year of experience in a technical leadership role.

Nice-to-haves

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Master's degree or PhD in Computer Science or related technical field.
Experience deploying advanced ML architectures (e.g., deep learning, LLMs) for embedded systems, based on implementing and experimenting with algorithms, optimization, and deployment.
Experience with the Android camera framework, machine learning architecture, image processing, camera tuning, and integrating peripheral sensors like gyro, accelerometer, and ALS.
Ability with coding in C/C++ to optimize software stacks for performance, power consumption, and memory footprint.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlllm

Platform: google
Effort: medium