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 AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities

• Work with the team to identify and qualify business opportunities, understand customer technical issues, and develop the strategy to resolve technical blockers.

• Provide Artificial Intelligence (AI) expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner with product management to prioritize solutions impacting customer adoption to Google Cloud.

• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud.

• Support developers, creators, and enterprises to leverage Google’s generative language Application Programming Interfaces (APIs) to help them build their own AI products in the future.

• Travel to customer sites, conferences, and other related events as needed.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 2 years of experience with software development in Python, or 1 year of experience with an advanced degree in an industry setting.

• Experience with Large Language Models (LLMs), open source, big data, machine learning, and numerical programming frameworks.

• Experience with AI products, technologies, and infrastructure.

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.

• Experience with building AI and machine learning solutions, machine learning operation frameworks like Kubeflow, and leveraging machine learning architectures (e.g., deep learning, Load Shedding and Traffic Management (LSTM), etc).

• Experience in architecting and developing software or infrastructure for distributed systems and with machine learning technologies.

• Knowledge of AI Models, Large Language Models, and AI specialized infrastructure related to AI trends and issues within businesses.

• Knowledge of responsible AI practice.

• Ability to work with new technologies, methodologies, and solutions in the Cloud/IT technology environment.