Software Engineer, Biometrics, Imaging, Silicon

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., C, C++), or 1 year of experience with an advanced degree.
• 2 years of experience working with embedded operating systems (e.g., Android, Linux).

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• Experience with software development on Android, for mobile SoCs and smartphones, and in trusted environments such as ARM TrustZone.
• Experience with Machine Learning (ML) inference pipeline and software stack.
• Experience with optimizing compute workloads on parallel architectures such as GPUs and DSPs.

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.

This role is within the Imaging and Face Authentication system engineering team in Google's Platform and Devices organization. Our team has delivered multiple generations of face authentication solutions on Pixel devices powered by Google Tensor SoCs. Our team also delivers system design and on-device prototypes for new and emerging imaging, computational photography and multimedia user experiences powered by the best of Google AI.

In this role, you will have the opportunity to work on technologies in Machine Learning (ML), Imaging and Security.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Write a product or system development code.
• Design and implement on-device software for the face unlock feature on Google Pixel devices.
• Design, implement and optimize Biometrics, Imaging and machine learning inference pipelines and scalable software components to enable biometrics authentication on future generations of Google Tensor based Pixel devices.
• Design and develop on-device prototypes and production software for new biometrics, imaging and multimedia use-cases and experiences.