Staff Software Engineer, Applied AI
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C++, Java, Python, Kotlin or Go.
- 5 years of experience testing, and launching software products.
- 3 years of experience with software design and architecture.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
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 Applied AI team focuses on building and deploying AI agents for enterprise customers across a variety of industries. The organization has historically not had a data team and we are building one from scratch.
Responsibilities
- Design, code, and deploy high-quality software at an accelerated pace. Create rapid prototypes and iterate quickly based on feedback.
- Bring fresh ideas and creative solutions to the table as the team works with enterprise data.
- Work closely with a small, experienced team. Engage in design and code reviews to ensure best practices and foster a culture of continuous improvement.
- Have a direct and significant impact on Google's Cloud enterprise customers.
- Address ambiguous problems and find creative solutions. Debug, track, and resolve issues efficiently, ensuring high reliability and performance.
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