Senior Software Engineer, BigQuery, Core Runtime and Capacitor
Senior Software Engineer, BigQuery, Core Runtime and Capacitor
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or with compute technologies, storage or hardware architecture.
- Experience programming in C++.
- Experience in the following areas: distributed systems, data infrastructure, performance analysis.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures/algorithms.
- Experience in one or more of the following areas: database internals, full stack system debugging.
- Experience with columnar storage formats and runtimes.
- Knowledge of structured data/relational data management or query processing.
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.
BigQuery Core Analytics team is working to build the world's best query processor for Cloud Data Analytics. BigQuery core analytics is powered by the vectorized query runtime which is tightly integrated with Capacitor, BigQuery's native columnar storage format. Initially developed as a part of Dremel logs analysis system, Capacitor has been generalized for use with other types of data stored in protocol buffers, so the format and API can be freely used by other components in the google3 code base and services such as F1 and Procella. We have started efforts to evolve Capacitor from the columnar storage format into AI-motivated adaptive storage infrastructure to rely on data-motivated policies how data is stored and retrieved from Capacitor to improve query price/performance and latency.
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.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Design and implement columnar data storage format internals, data encodings and their processing algorithms in C++ codebase.
- Collaborate across vectorized query runtime and storage teams to implement most efficient data encodings and processing algorithms.
- Track industry trends and help to drive innovation in the highly engaged query processing space.
- Put Capacitor users first. Work across BigQuery runtime and storage teams and other teams at Google that use Capacitor to identify requirements and drive innovations in Capacitor to satisfy their needs.
- Run performance analysis in test environments and production to identify areas for improvements.
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