Software Engineer, Generative AI Application and Tooling
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages (e.g., Python, Kotlin, TypeScript, or Java), or 1 year of experience with an advanced degree.
Preferred qualifications:
- 2 years of experience with data structures and algorithms in either an academic or industry setting.
- Experience with generative AI and its application for improving velocity/productivity.
- Experience designing and developing full-stack tools and infrastructure from scratch, while also leveraging existing solutions when appropriate.
- Ability to apply creative and innovative solutions that exceed business objectives.
- Excellent system design skills that consider both the human and technological aspects of a problem.
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 team plays a key role in ensuring the overall software experiences launch quality of Android and Pixel software with the practices of transforming how Android, Pixel and other teams create, develop, and launch software. The team collaborates with cross-functional teams across multiple sites, encompassing infrastructure and tooling development while leveraging AI. The team is responsible with in-house feature testing, carrier pre-certification testing, quality analysis, and more.
The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.
Responsibilities
- Design and build the next generation of automated agentic testing framework. Create scalable, AI-enhanced solutions to support mobile application development across a wide range of devices.
- Design and implement AI-powered simulation engines to simulate intricate, real-world user journeys and device environments in authentic usage conditions that traditional automation might miss.
- Serve as a key resource for engineering teams, providing the tools and insights needed to ensure mobile applications deliver a positive user experience.
- Take full ownership of critical infrastructure components, collaborating across cross-functional teams to embed automated quality checks throughout the entire software development lifecycle.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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