Software Engineer III, AI Automotive

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  
• 2 years of experience working with embedded operating systems.
  

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience with data structures and algorithms.
• Experience developing accessible technologies.
• Experience building AI/ML powered features or applications on Android.
• Experience with the Automotive Industry.

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 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

• Collaborate with cross-functional teams to design, implement, and optimize Embedded or Android framework components and system software that enable advanced AI-powered features.
• Develop solutions that span API design, Android framework modifications, system services, Hardware Abstraction Layer (HAL) interfaces, and native libraries (C/C++).
• Advocate product excellence for best practices in software engineering, particularly in the context of on-device ML and embedded systems.
• Build and own critical software modules integral to the team's mission.
• Produce clear, comprehensive, and helpful technical documentation for internal teams, clients, and automotive partners, facilitating seamless integration and understanding of the AI/ML capabilities you help build.