Google

Software Engineer III, Generative AI, Workspace Drive

Google$147K — $211K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience
  • 2 years of software development experience in one or more programming languages, or 1 year with an advanced degree
  • Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models)
  • Preferred: Master's degree or PhD in Computer Science or related technical field
  • Preferred: 2 years of experience with data structures and algorithms
  • Preferred: Experience developing accessible technologies

Responsibilities

  • Write product or system development code
  • Collaborate with peers and stakeholders in design and code reviews
  • Contribute and adapt documentation and educational content based on updates and user feedback
  • Triage and debug product or system issues, analyzing their sources and impacts
  • Implement GenAI solutions and contribute to data preparation and performance enhancements

Benefits

  • 15% bonus target
  • Equity benefits
  • Access to Google's comprehensive benefits package
Full Job Description
info_outline
X The application window will be open until at least August 4, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures and algorithms.
  • Experience developing accessible technologies.


Responsibilities
  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (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.
  • Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.


Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $211000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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