30276 Jobs

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.

Build the exceptional turn-by-turn Navigation experience that guides users to destinations around the world - across Google Maps’ mobile products, their projected (e.g., CarPlay, Android Auto) counterparts, in Auto-embedded Google Maps, and in our Navigation SDKs.

Geo’s Navigation Experience team translates our routing and geolocation into a visualized, tangible user product - one that not only showcases our information about the user’s route, but also coordinates and focuses that information into useful guidance, helping users execute their drives with ease and confidence. This spans the entire visualized experience: rendering of the route on the map, highlighting useful on-map annotations, rendering turn cards with detailed lane guidance, framing the user’s view of the map in a context-relevant manner, speaking voice guidance, and coordinating these elements together into an amazing user experience.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Develop and leverage expertise with the cross-platform Navigation Client Experience stack, and the Android and iOS Google Maps mobile development environments in which it exists, to make direct technical contributions to the codebase.
  
• Lead technical collaboration with cross-functional partners and cross-organization teams, to determine the right technical projects to pursue, and report on their milestones and timelines. Mentor and train other team members on design techniques and coding standards.
  
• Design, guide, and vet solutions to navigation problems that balance product trajectory, system performance, and codebase health.
  
• Work with a variety of team leads to plan and track programs of work, building and leveraging a knowledge of the group’s goals and skillsets.
  
• Write and review code, providing feedback on and role modeling best practices (e.g., style guidelines, accuracy, testability, maintainability, and efficiency).