The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Manage the development of automation, processes, and diagnostics in support of new product introduction to enable the efficient installation, configuration, testing and management of new data center hardware from the time of manufacturing to installation.
Develop new product test solutions, and will work closely with our hardware and software partner teams to ensure that the end to end data center automated diagnosis and repair systems are working efficiently and integrated properly with the signals generated from our test infrastructure and diagnostics.
Develop software that executes in thousands of systems in parallel and develop the data insights required to analyze the complex result sets, and optimize repair strategies for fault coverage and fault isolation.
Manage the new product introduction process to ensure that new hardware platforms turn up from manufacturing to our data centers.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products.
Experience integrating generative AI tools or LLM interfaces into workflows.
Experience in data analysis, test automation, failure analysis and embedded systems.
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
Experience in data center systems, linux, data center networking, machine automation, ML hardware, and strong debugging and technical troubleshooting skills.
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products.
Experience integrating generative AI tools or LLM interfaces into workflows.
Experience in data analysis, test automation, failure analysis and embedded systems.
