Software Engineer, Vertex AI Platform

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in software development (e.g., C++, Python), and with data structures/algorithms.
• 2 years of experience with backend software development.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, a technical related field, or equivalent practical experience.
• 2 years of experience working with Large Language Models (LLMs).
• Experience with AI or Machine Learning.

About the job

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 ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities

• Design, develop and deploy robust, easy-to-use and scalable Artificial Intelligence/Machine Learning platform capabilities. Expect to focus on platform usability, high availability, performance optimization, and cost efficiency.
• Foster a collaborative work environment, promoting open communication and knowledge sharing.
• Design, develop, and implement of scalable and reliable Vertex AI capabilities on Google Cloud.
• Advocate the adoption and optimization of new technologies and best practices within the team.
• Implement robust testing and validation processes to ensure consistent, reliable production services.