Software Engineer, Core Runtime, BigQuery

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience with software development or 1 year of experience with

an advanced degree in an industry setting.

• 2 years of experience with developing large-scale infrastructure, distributed

systems or networks, or experience with compute technologies or storage.

• Experience in the following: database internals, query processing,

performance analysis, SQL.

• Experience programming in C++.

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in Computer Science or related technical fields.

• Experience with vectorized query runtimes, low-level systems implementation,

performance analysis and optimization, and engineering for scalability, high

performance, large-scale distributed systems.

• Experience in the following: influencing, collaboration, concurrency

multithreading synchronization, distributed computing, distributed databases.

• Experience with database query runtimes.
• Experience working on performance improvement projects spanning multiple

functional areas.

• Experience building infrastructure in Google Cloud or other cloud providers.

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 is an industry leader in data warehousing. We learned in recent years

that most workloads run against small datasets, inspiring our goal to make the

platform premier for low-latency, high-throughput use cases.

Over that time, we built enhancements to address these issues. Testing proved

that lightweight evaluations on standard benchmarks can execute an order of

magnitude faster by eliminating overhead and streamlining processing.

Consequently, half of all investigative jobs could perform over 50% quicker,

closing a major engaged gap.

Join if you enjoy tuning large distributed architectures, accelerating response

times, and maximizing operational efficiency.

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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

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

RESPONSIBILITIES:

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide

amongst available technologies.

• Review code developed by other developers and provide feedback to ensure best

practices (e.g., style guidelines, checking code in, accuracy, testability,

and efficiency).

• Contribute to existing documentation or educational content and adapt content

based on product/program updates and user feedback.

• Triage product or system issues and debug/track/resolve by analyzing the

sources of issues and the impact on hardware, network, or service operations

and quality.