Software Engineer, Full Stack, Learning and Education

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.

This is a unique chance to join our multidisciplinary team of PMs, PgMs, Learning science, UX, Research Scientists and Engineers and work on AI research, building from zero to one. You will be building, developing, and working with advanced AI technologies and turning new ideas into finished products, fundamentally impacting students'lives.

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

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Solve open ended ambiguous problems, while Influencing the team roadmap.
  
• Manage full stack rapid prototyping derisking new student experiences.
• Scope, design and build libraries, APIs/Services to launch the functionality on google surfaces.
• Self direct and be comfortable operating independently with minimal oversight.
• Collaborate with internal and external teams. Be a leader in the collaborations.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience testing, and launching software products.
  
• 5 years of experience with full stack development, across 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.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience in navigating a complex product space and setting technical roadmaps.
• Experience in building robust and scalable infrastructure, or in evaluating complex systems.
• Experience managing ambiguity and launching a reliable experience in a cross-functional team environment.
• Experience in applied ML in the generative AI era (prompt engineering, agentic system, evals, synthetic data generation).

In most instances, this position requires in-person interviews as part of the hiring process