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Provide technical leadership designing and optimizing BigQuery's query processing engine to reduce latency bottlenecks. Work primarily with C++, Java, and Python across Dremel codebase on large-scale distributed systems. Requires 8 years programming experience in Java, C++, or Python; 5 years building infrastructure or distributed systems; and GPU programming experience with CUDA or OpenCL. Preferred: 3 years in technical leadership and background with SQL query engines or distributed systems.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • 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 data planes and Python for tests.

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.
  • 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.
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  • Role Staff Software Engineer, BigQuery Processing Core Runtime
  • Experience 8-9 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

209K – 246K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 168 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
8-9 years

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