Senior Staff AI/ML GenAI Engineer — Cloud Scale

Google

Sunnyvale (CA)

On-site

USD 248,000 - 349,000

Full time

14 days+

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Job summary

Google Cloud AI is seeking a Senior Staff Software Engineer to lead GenAI initiatives and advanced ML infrastructure. Based in Sunnyvale, CA, you will shape architectural decisions, drive deployment and evaluation of GenAI models, and mentor cross-functional teams on high-impact projects.

You will own outcomes, influence stakeholders, and work across product and research to push the state-of-the-art in AI at scale. This role emphasizes leadership and technical excellence.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 7 years leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure.
  • 5 years of experience with design and architecture; testing/launching software products.
  • 5 years of experience with GenAI techniques (LLMs, Multi-Modal, Large Vision Models) or related concepts.

Responsibilities

  • Design, develop, test, deploy, maintain, and enhance large scale software solutions.
  • Provide technical leadership on high-impact projects; manage priorities, deadlines, and deliverables.
  • Facilitate alignment across teams on goals, outcomes, and timelines; coach distributed engineers.
  • Drive technical project strategy and oversee GenAI solutions and ML infrastructure optimization.

Skills

Software dev
ML design
Project leadership
GenAI techniques
ML infrastructure

Education

Bachelor's degree or equivalent practical experience
Master's degree or PhD (preferred)

Job description

Google Cloud AI is seeking a Senior Staff Software Engineer to lead GenAI initiatives and advanced ML infrastructure. Based in Sunnyvale, CA, you will shape architectural decisions, drive deployment and evaluation of GenAI models, and mentor cross-functional teams on high-impact projects.

You will own outcomes, influence stakeholders, and work across product and research to push the state-of-the-art in AI at scale. This role emphasizes leadership and technical excellence.

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