Google

Senior Software Engineer, Generative AI, Google Workspace

Google$174K — $252K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience
  • 5 years of experience in software development with various programming languages
  • 3 years in testing, maintaining, or launching software products; 1 year in software design and architecture
  • 3 years with ML infrastructure including model deployment and optimization
  • 1 year with Generative AI techniques or concepts.

Responsibilities

  • Write and test development code for products or systems.
  • Participate or lead design reviews to evaluate technologies with peers and stakeholders.
  • Architect and scale models and infrastructure for Generative AI products.
  • Contribute to and adapt documentation based on product updates and user feedback.
  • Triage and debug system issues by analyzing sources and impacts on operations.

Benefits

  • Comprehensive health insurance plans
  • Retirement savings options with company match
  • Generous paid time off policies
  • Flexible work arrangements
  • Professional development opportunities.
Full Job Description
info_outline
X In most instances, this position requires in-person interviews as part of the hiring process.

The application window will be open until at least August 30, 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.
  • 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 ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • 1 year of 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 field.
  • 5 years of experience with data structures and algorithms.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • 1 year of experience in a technical leadership role.
  • Experience developing accessible technologies.


About the job

As a Software Engineer on Drive Core Infra AI, you will join a team focused on core infrastructure and tooling for measuring and improving quality. You will collaborate closely with peer teams to build the future of the drive user experience in an environment where flexibility and a willingness to pivot are key to success.

AI will change the future of work in profound ways, and our products- Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.
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 .

Responsibilities
  • Write and test product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Architect and scale the models and infrastructure that power drive Generative AI (GenAI) products and services.
  • 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.


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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