Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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 mission is to enable Google employees to enhance products and services with Machine Learning (ML) by providing Artificial Intelligence/Machine Learning (AI/ML) platform. We own and operate a multitentant ML-as-a-service platform used by Google product teams to build and launch Generative AI (GenAI)-powered products. This team provides the missing link between AI researchers and product teams to ensure that the AI technology are effectively used in Google products to drive real-world impact.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Create journeys that take otherwise complicated and fragmented AI workflows to make them simple. Partner with the team containing front-end, infrastructure, and modeling expertise. Collaborate across the stack and deliver AI capabilities to the Google ecosystem.
- Influence and coach a distributed team of engineers. Work with researchers and modeling/infrastructure experts to democratize AI techniques and make them accessible to advanced users.
- Collaborate cross-functionally with User Experience Researcher (UXR), User Experience Designer (UXD), Product Managers (PM) to build end-to-end experiences for user journeys. Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
- Manage project priorities, deadlines, and deliverables.
- Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience with testing, and launching software products.
- 5 years of experience with full stack development, across the back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
- 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 and algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- Ability to build 0-to-1 team, and take a project from idea to production.
- Excellent collaboration skills, with the ability to work with User Experience (UX), PM, and front- end or back-end engineers.