Applications for this role will close on July 14, 2026.

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• Experience working with data structures and algorithms during coursework/projects, research, internships, or practical experience in school or work (e.g. open-source coding).
• Experience with software development in one or more programming languages (e.g., Python, C, C , Java, JavaScript).
• Experience within AI/ML and Infrastructure technical domains through internships, research or independent exposure.
• Ability to start in June 2027.

Preferred qualifications:

• Master's degree in Computer Science or a related technical field.
• Ability to learn new technologies, coding languages, and concepts, and apply them to real-world challenges.
• Demonstrated problem-solving abilities.

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.

About Cloud AI and Infrastructure

Google's AI and Infrastructure organization is redefining what's possible in computing. This team tackles some of the world's most complex engineering problems, delivering AI and infrastructure at an unparalleled scale of efficiency, reliability, and velocity. The systems built here power our products for billions of customers and users across the world.

Operating at the unique intersection of both AI and infrastructure, this team serves as the architectural foundation for Google's core innovations. The organization drives the end-to-end development of proprietary AI models, delivers massive computing power to global services, and provides the essential platforms enabling developers to build the future. Spanning both software and hardware, our teams shape the landscape of hyperscale computing-with key groups focused on the development of custom data center silicon, Vertex AI, Google Global Networking, operations, and advanced systems research. To sustain this global leadership, AI and Infrastructure brings together brilliant technical minds driven by technical rigor, bold thinking, and a shared mission to give the world the power to do the impossible.

About the Program

The AI Career Catalyst Program is an accelerated, full-time Software Engineering position within Google's AI and Infrastructure organization. The track offers a unique launchpad to gain a comprehensive, full-stack understanding of how a global technology ecosystem operates at scale-with exposure spanning from custom silicon in data centers to state-of-the-art models and enterprise agents.

Participants will join a cohort of peers and begin their full-time experience with an immersive, one-month onboarding before rotating through three high-impact projects within the AI and Infrastructure organization. Throughout these rotations, participants will receive continuous management support to guide onboarding, career development, and performance. For day-to-day work, participants will receive project assignments and regular one-on-one feedback from engineering leaders tailored to each specific rotation.

The experience combines true technical ownership with targeted mentorship. Upon successful completion of the 13-month onboarding and rotational period, participants transition directly into a long-term, full-time team placement within the AI and Infrastructure organization to continue their career.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $123000 - $175000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities

• Rotate across up to three AI and Infrastructure organizations, with potential opportunities to work from distinct US Google offices based on business and project needs.
• Deliver on high-impact projects from day one, rapidly upskilling to contribute directly to core organizational and business goals.
• Execute on key business initiatives while developing deep technical excellence, navigating highly ambiguous systems, and establishing a broad cross-organizational network.