Senior Staff AI/GenAI Engineer — ML Infra Leader

Google LLC

Sunnyvale (CA)

On-site

USD 262,000 - 364,000

Full time

38 hours ago
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Job summary

Google LLC in Sunnyvale, CA, is seeking a Senior Staff Software Engineer specializing in AI/ML GenAI to help shape Google Cloud Compute Infrastructure. You will lead scalable systems, design and deploy GenAI-enabled solutions, and mentor engineers across teams.

The role emphasizes technical leadership, end-to-end ML pipelines, and collaboration with cross-functional partners to deliver industry-scale software. In-person interviews are common.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale end-to-end ML.
  • 5 years of experience with design and architecture; and testing/launching software products.
  • 2 years of experience with GenAI techniques or related concepts.

Responsibilities

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

Skills

GenAI techniques
ML infra design
Distributed computing
Technical leadership
System design

Education

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

Job description

Google LLC in Sunnyvale, CA, is seeking a Senior Staff Software Engineer specializing in AI/ML GenAI to help shape Google Cloud Compute Infrastructure. You will lead scalable systems, design and deploy GenAI-enabled solutions, and mentor engineers across teams.

The role emphasizes technical leadership, end-to-end ML pipelines, and collaboration with cross-functional partners to deliver industry-scale software. In-person interviews are common.

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