Software Engineer II, Diagnostics, Tools, Google Cloud Platform

Minimum qualifications:

• Bachelor's degree in Computer Science or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++).
• 1 year of experience with data structures or algorithms.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• Experience in software development with performance, systems data analysis, diagnostics tools, and debugging.
• Experience in developing on Linux.
• Experience with C/C++, Python and Golang.
• Experience in system health, diagnosis and resolution, and software test engineering.

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.

At Google we explore leading edge hardware solutions and this team is involved in the early design and setting product requirements. We focus on Artificial Intelligence (AI) and machine learning acceleration, leading-edge storage solutions, compute servers with Intel, AMD, and other processors, high-speed low-latency networking and interfaces.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

• Develop tools and diagnostics in support of system health verification, performance characterization, and on-going reliability of machine learning and AI acceleration platforms.
• Develop software that executes in multiple systems in parallel, and develop dashboards to analyze the results.
• Enable the testing and decision making on hardware and software design and deployment.
• Enhance the quality, performance processes, or coverage of the diagnostic tool or utility of the Google Cloud platform.
• Collaborate with Google Software, Firmware, and Hardware teams to design, plan, implement and debug.