Staff Software Engineer, BigQuery Processing Core Runtime

About the role

MINIMUM QUALIFICATIONS:

• Bachelor's degree or equivalent practical experience.

• 8 years of experience with one or more general purpose programming languages

including but not limited to: Java, C/C++ or Python.

• 5 years of experience building and developing large-scale infrastructure,

distributed systems or networks, or experience with compute technologies,

storage, or hardware architecture.

• Experience with GPU programming (CUDA, OpenCL) and optimization techniques.

PREFERRED QUALIFICATIONS:

• Master’s degree or PhD in Engineering, Computer Science, or a related

technical field.

• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams

and setting technical direction.

• Experience in developing query processing engines for a SQL relational

database or large-scale distributed systems.

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.

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. 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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Provide technical leadership on projects.

• 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.