Software Engineer, Pixel Biometrics

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience testing, and launching software products.
  
• 3 years of experience with software design and architecture.

Preferred qualifications:

• Experience with developing or writing software that interacts with embedded systems, including experience with machine learning and porting reference models to hardware accelerators (e.g. TPUs).
• Experience in dependency injection and code scalability and in writing testable and scalable C++ code.
• Experience in high-performance systems programming in resource constrained environments and with operating systems and the Linux kernel.
• Demonstrated a security mindset to software development, writing code with an understanding of how attackers may abuse it.
• Passion to work on complex, primarily IC related projects and write code to work with.

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 Pixel Biometrics team provides seamless biometric authentication for the Pixel lineup of devices. We have delivered NIR (Near-infrared) face authentication and developed the most secure RGB face authentication using commodity hardware. We work on the ML, data science and engineering to provide users with secure, privacy-preserving and useful AI features.

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.

Responsibilities

• Develop software that bridges the gap between the hardware running secure face authentication and the Android operating system.
• Write a concurrent code to stream and process camera frames.
• Investigate and improve the latency, memory usage and battery impact of our product on resource-constrained hardware.
• Design and implement scaleable software to enable the next generation of biometric authentication.