Join Google's innovative team as a Staff Software Engineer specializing in Geo and Agentic AI Engineering. You'll contribute to developing cutting-edge technologies that shape how billions interact with information. This role offers the chance to work on projects critical to Google's success, with opportunities to evolve and adapt within our fast-paced environment. We seek versatile engineers with leadership qualities and a passion for tackling complex, full-stack challenges to drive technological advancement.

Our Geo team is dedicated to creating the world's most accurate and valuable mapping experiences through products like Maps, Earth, and Street View. Millions rely on our services monthly for navigation and exploration. We also empower developers with Google Maps Platform APIs, solving intricate computer science problems and designing intuitive user experiences to enhance our understanding of the world.

Take ownership of the strategy, scope, and execution of complex compliance initiatives, managing long-term projects.

Address and resolve large, ambiguous technical challenges, leading to scalable and maintainable solutions. Reduce architectural complexity and improve system efficiency.

Collaborate closely with cross-functional engineering teams to prioritize tasks and build consensus, ensuring alignment with team and organizational goals.

Elevate engineering standards across the board, influence design decisions beyond your immediate team, and provide valuable technical guidance and mentorship to fellow engineers.

A Bachelor's degree or equivalent practical experience is required.

This role demands 8 years of software development experience. Additionally, you'll need 5 years in testing and launching software products, along with 3 years focused on software design and architecture. A minimum of 2 years in a people management or team leadership capacity is also essential.

Crucially, experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows is a must. For those seeking to further enhance their qualifications, a Master’s degree or PhD in Engineering, Computer Science, or a related technical field is preferred. Preferred candidates will also possess 8 years of experience with data structures and algorithms, 5 years in a technical leadership role, and 3 years of experience within complex, cross-functional project environments.