Software Engineer, Workload Characterizations, Early Careers, PhD
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Minimum qualifications:
- PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- Experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
Preferred qualifications:
- Experience working with data structures or algorithms during coursework/projects, research, internships, or practical experience in school or work (e.g., open-source coding).
- Experience leveraging AI/ML in solving Developer Experience/DevOps related problems.
- Ability to analyze complex problems and develop creative solutions.
- Published academic papers in computer systems or ML venues.
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.
As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.
As a leading cloud provider, Google hosts vast amounts of diverse workloads, from serving to batch, from standard compute to tuning ML models to large-scale ML training. These workload classes require different infrastructure properties for optimal hosting and infrastructure could be built and tuned accordingly.
In this role, you will lead the development of a classification model that clusters customer workloads into appropriate classes that summarize and express customers' intent, workloads' true constraints, and infrastructure's optimization space. You will work closely with tech leads and product managers developing products managing virtual machines (e.g., Managed Instance Groups, and higher-level offerings) and data scientists, analyzing operational data and optimizing cloud infrastructure.
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
- Analyzing and classifying workload characterizations.
- Use AI to optimize obtainability, reliability, and cost in MIGs and other surfaces.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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