Software Engineer, Data and Telemetry, Google Beam

Google LLC•Seattle, WA

32d•$141,000 - $202,000

About The Position

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. Google Beam is a true-to-life new communication technology that solves a fundamental human problem: we want to be together, even when we can't. Powered by state-of-the-art 3D imaging, spatial audio, and integration with leading video platforms, Beam allows users to feel like they are having real, face-to-face conversations across any distance. As part of the Beam Core Apps team, you aren't just building a video chat app; you are building the future of immersive connection. The quality and velocity of our engineering rely on observability. As a Data and Telemetry Software Engineer, you will build the infrastructure to capture performance data across client and cloud. You will drive technical strategy beyond simple logging, creating a robust foundation for product health and user insights. Labs is a group focused on incubating early-stage efforts in support of Google's mission to organize the world's information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
2 years of experience with C++ programming, including experience with codebases in a Linux or Unix environment.
2 years of experience with software development in one or more general-purpose programming languages.
1 year of experience with data analytics, telemetry, logging infrastructure, or creating data dashboards.

Nice To Haves

Master's degree or PhD in Computer Science or related technical fields.
Experience with TypeScript or frontend web technologies for building internal tools and dashboards.
Experience with distributed systems, data processing, and managing high-volume data pipelines.
Experience optimizing software for performance, latency, and resource usage in a resource-constrained environment.
Familiarity with data visualization tools (e.g., internal Google tools like Dasnav/Plx, or external tools like Tableau/Grafana).

Responsibilities

Design, develop, and maintain scalable telemetry infrastructure and client-side instrumentation using C++ to capture product health and performance metrics.
Collaborate with engineering peers, product managers, and user researchers through design and code reviews to ensure data accuracy, efficiency, and adherence to style guidelines.
Build and optimize data visualization dashboards and pipelines that provide actionable insights into system reliability, latency, and user experience.
Triage product or system issues and debug/track/resolve by analyzing telemetry data to pinpoint sources of instability across hardware, network, or service operations.
Contribute to documentation regarding data schemas and instrumentation guides, adapting content based on product updates to enable self-service insights for the wider team.

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