Software Engineer III, Distributed Cloud

About the Role

Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. Products need to handle information at massive scale and extend beyond web search.

In this role, you will play a critical role in ensuring the reliability and performance of high-performance computing assets. You will build and scale the systems that monitor hardware health, with a specific emphasis on Graphics Processing Unit (GPU) diagnostics and infrastructure observability. You will directly impact the uptime of large-scale server fleets by developing automated alerting, sophisticated dashboards, and deep-dive diagnostic tools.

Key Responsibilities

• Write product or system development code.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Design and maintain scalable software solutions for real-time monitoring of server infrastructure and GPU health.
• Develop and refine diagnostic suites to identify pre-failure indicators and performance bottlenecks in GPU clusters.
• Build and optimize high-cardinality monitoring pipelines, ensuring alerts are actionable and noise is minimized.
• Create automated recovery workflows to manage hardware faults without manual intervention.
• Partner with hardware vendors and site reliability teams to integrate low-level hardware telemetry into high-level monitoring platforms.

Qualifications

Minimum Qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience with distributed systems, embedded systems, Linux, monitoring.

Preferred Qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience with data structures and algorithms.
• Experience developing accessible technologies.
• GPU Drivers, Embedded Systems, Kubernetes, Docker.