Drimva

Google

Staff Software Engineer, AI/ML GenAI, Google Cloud AI

Sunnyvale, CA, USA +1 · Staff · Full-time · Posted Apr 13, 2026

Location
Sunnyvale, CA, USA
Kirkland, WA, USA
Experience
8 years software development; 5 years ML design and optimization; 5 years testing and launching software products; 3 years software design and architecture; 2 years GenAI techniques or concepts.
Education
Bachelor’s degree or equivalent practical experience.

About the job

Leads engineering of large-scale GenAI and machine-learning solutions for Google Cloud AI, from design and infrastructure optimization through deployment and maintenance.

What you'll do

  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions; provide technical leadership and manage project priorities, deadlines, and deliverables.
  • Lead the design of GenAI solutions, optimize ML infrastructure, and guide data preparation and model optimization strategies.
  • Align teams on goals, outcomes, and timelines; influence and coach a distributed team of engineers.

What they ask for

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience leading ML design and optimizing end-to-end Machine Learning; 5 years of experience testing and launching software products; 3 years of experience with software design and architecture.
  • 2 years of experience with state of the art GenAI techniques or GenAI-related concepts.

Nice to have

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures/algorithms; 3 years in a technical leadership role; 3 years working in a complex, matrixed organization.

Pay

$207000 - $300000 (USD) base salary

Tools

Machine Learning, GenAI, LLMs, Multi-Modal, Large Vision Models

AI focus

Lead GenAI solution design, ML infrastructure optimization, data preparation, and model optimization; work with state-of-the-art GenAI techniques and related concepts.

Model-written summary · the original posting is authoritative

First seen Oct 8, 2026 · Last verified Nov 5, 2026 (UTC)