Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Build and maintain the software systems and control planes that run Google's Cloud TPU infrastructure.
Own end-to-end features across the TPU software stack, which may include cluster and fleet management, power and resource orchestration, host and runtime software, hardware qualification, or fleet health and observability.
Write production code, build automated validation pipelines, and improve telemetry and tooling to keep large-scale TPU clusters reliable and efficient for AI training and inference workloads.
Design, implement, and test software components, debug complex issues across distributed systems and hardware interfaces, and take features from initial design to production roll-out.
Work closely with partner engineering teams across Google Cloud and data center infrastructure to understand customer and operational requirements.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience with AI Platforms.
1 year of experience developing/launching products/technologies within software as a service or a related area.
Experience developing/launching products/technologies within Cloud Infrastructure.
Preferred qualifications
Bachelor's, Master's, or PhD degree in Computer Science, a related technical field, or equivalent practical experience.
2 years of experience in software development (or 1 year with a relevant advanced degree), building and testing reliable backend or distributed systems in C++, Go, Python, or Java.
Experience designing and executing testing strategies beyond unit tests and maintaining production service health.
Experience with Machine Learning Infrastructure.
Strong foundation in software engineering, distributed systems, and production reliability, with a demonstrated ability to independently deliver end-to-end features and components in a collaborative, fast-paced environment.
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience with AI Platforms.
1 year of experience developing/launching products/technologies within software as a service or a related area.
Experience developing/launching products/technologies within Cloud Infrastructure.
