About the job

As a Staff Software Engineer at Google, you will develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. You will 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, and the list goes on and is growing every day. 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.

Google Maps is at the forefront of combining massive amounts of data at scale with advanced artificial intelligence to build and maintain the most detailed and accurate map of the world. Join the Google Maps Driving Telemetry team and help architect the future of real-time mapping for Google. Driving Telemetry builds and maintains mission-critical, high-throughput, low-latency systems that acquire, ingest, and process hundreds of billions of real-time location samples and vehicle sensor observations per day. In this role, you will handle deep technical challenges in distributed computing, real-time system architecture, and event-driven signal processing, as we modernize and evolve our infrastructure to accelerate AI initiatives and real-time mapping systems across Geo. Your contributions will directly enhance the world’s best driving and navigation products, and contribute to the future of innovation in mapping and mobility products for Google.

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 $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.

Responsibilities

• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

• Manage project priorities, deadlines, and deliverables.

• Work with engineering and product leads across teams to define and understand system requirements, and align infrastructure design and architecture to meet business needs.

• Innovate and evolve systems and APIs to keep pace with changing and emerging AI and machine learning capabilities and patterns.

• Measure and monitor system health and performance. Define service and data Service Level Objectives (SLOs), and maintain a strong team culture of operational excellence.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development.

• 3 years of experience as a team technical lead, or system architect.

• Experience with large-scale, high-throughput, low-latency, real-time event processing systems.

• Experience with C++.

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• Experience in developing and optimizing high-performance, low-latency, event-driven real-time backend systems.

• Familiarity with machine learning systems and development lifecycle, including model training, testing, evaluation, deployment, and monitoring.