Senior Software Engineer, Embedded, Pixel Camera

About the role

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.

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.

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

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

RESPONSIBILITIES:

• 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.