Staff Software Engineer, Compute Test and Quality Strategy
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience with design and architecture; and testing/launching software products.
- Experience with C++, Python, Diagnostics, Test Design, Data Analysis, Test Automation, Failure Diagnosis.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Experience with one or more of the following: Test Methodology, Network Diagnostics, Failure Mode and Effects Analysis.
About the job
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.The Core Systems and Capacity Assurance (CSCA) team manages the entire service lifetime of machines within the Google Fleet. We deliver the tools and systems for machine management, including software installation and hardware health testing. Our team develops diagnostic tests and repair strategies to ensure every machine is healthy and ready to serve.
We also validate all new hardware, ensuring it performs as expected, is defect-free, and is properly configured before deployment. This validation occurs at every stage, from manufacturing to the data center. We create hardware diagnostics and repair strategies for all data center platforms—including Compute, Storage, and GPU/TPU Accelerators—to guarantee they are ready for Google's internal and Cloud customers. Our work is applied throughout the entire product life cycle, from initial manufacturing to reverse logistics.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.
Responsibilities
- Design/manage automation processes, diagnostics for New-Product-Introduction, enabling efficient installation, configuration, testing/management of new data center hardware from manufacturing to Data Center installation.
- Design and use tools for data driven decisions and strategies to continuously improve the process efficacy.
- Develop strategy of new product test solutions, and will work closely with our hardware, software, manufacturing, and data center deployment and operation 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 executing in thousands of systems in parallel. Develop data insights required to analyze complex result sets, optimize repair strategies for fault coverage/ isolation.
- New Product Introduction process ensuring new hardware platforms turn up smoothly from manufacturing to our data centers.
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