Qualifications
* Bachelor’s degree or equivalent practical experience.
* 5 years of experience with software development in one or more programming languages.
* 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Preferred qualifications
* Master's degree or PhD in Computer Science, or a related technical field.
* 5 years of experience with data structures and algorithms.
* 1 year of experience in a technical leadership role.
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.
Automotive AI team is a part of a bigger Applied AI organization that builds conversational agents deployed at a large-scale that achieve very meaningful results in the real world.
Responsibilities
* Work on Gemini enterprise for customer experience solutions.
* Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
* Build AI vehicle integration with Gemini’s reasoning into our automotive products.
* Work closely with the business stakeholders as well as other Engineering teams at Google such as DeepMind.
* Build various AI/ML technologies, Large Language Models (LLMs) and Natural Language Understanding (NLU) infrastructure.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire .
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