Software Engineering, GenAI, LLM, Infra
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.
In this role, your mission is to introduce cutting-edge AI/ML capabilities to Google Cloud, and make it super reliable, performant, cost effective, flexible, and simple for Google Cloud customers. You will be focusing on bringing the best of Google’s Machine Learning investments, including Large Language Model (LLM) Serving and Tuning and more, along with Cloud and OSS technologies to provide the ML infrastructure, tools and services that powers Google Cloud customers.
This opportunity has high impact potential that lies at the intersection of AI/ML and distributed systems. Cloud presents an opportunity to provide technology to all of the businesses in the world.
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
- Design, develop, and deploy robust, easy-to-use and scalable AI/ML platform capabilities (focus on platform usability, high availability, performance optimization, and cost efficiency).
- Advocate the adoption and optimization of new technologies and best practices within the team.
- Foster a collaborative work environment, promoting open communication and knowledge sharing.
- Implement robust testing and validation processes to ensure consistent, reliable production services.
- Communicate effectively with cross-functional teams to maintain alignment and address challenges.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming
languages. - 5 years of experience with design and architecture; and testing/launching software products.
- 5 years of experience building and developing large-scale infrastructure.
Preferred qualifications:
- Experience with AI platforms.
- Experience with Machine Learning (ML) architecture.