About this role
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.
Google BigQuery is a fast, serverless, and highly scalable multi-cloud data warehouse offered as part of Google Cloud Platform. It supports a wide range of data analytics use cases—including reporting, business intelligence, data pipelines, and data marts—and is used across many enterprise sectors, including retail, finance, technology, and gaming.
BigQuery is one of the leaders in the data warehousing space. As we learned in recent years, most of the queries users run are working on small datasets. The trend is so profound that some ex-BigQuery leaders even started new businesses to solve that exact use case. Our team's mission is to make BigQuery the best data warehouse for low-latency, high-throughput use cases.Google Cloud accelerates every organization’s ability to digitally transform its business and industry.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google (https://www.google.com/about/careers/applications/benefits/).
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 testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- Experience programming in C++.
- Experience with Database Internals and Query Processing.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- Experience with CUDA programming (or similar) on GPUs.
- Experience with database internals.
- Experience with low-level systems implementation, performance analysis and optimization, and engineering for scalability.
- Experience with C++ to implement multiple database query processing algorithms and data structures on GPU.
- Experience working on performance improvement projects spanning multiple functional areas.
- Write and test product or system development code.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
- Improve BigQuery engine to remove bottlenecks for low latency queries, design solutions that are easy to maintain and extend.
- Work with BigQuery and Dremel codebase, which is primarily C++ with some Java in control planes and Python for tests.