Senior Staff Engineer - AI-Driven Feed Recommendation Infra

Google LLC

Mountain View (CA)

In loco

USD 262.000 - 364.000

Tempo pieno

24 ore fa
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Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

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Benefits

Descrizione del lavoro

Google LLC is seeking a Senior Staff Software Engineer for Feed Recommendation Infrastructure in Mountain View, CA. The role emphasizes driving growth, building AI-enabled infrastructure, and leading cross-functional teams to deliver scalable, high-impact software solutions.

You will shape the architecture for large-scale AI workloads, collaborate with multiple teams, and guide the execution of complex projects from concept to production.

Competenze

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 7 years of experience building large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
  • 5 years of experience with design and architecture; and testing/launching software products.
  • Experience integrating generative AI tools or LLM interfaces into workflows, and designing distributed systems for large-scale AI/ML workloads.

Mansioni

  • Convert strategy to a roadmap and produce short term and long term plans.
  • Coordinate development across teams and drive launches.
  • Build prototype for proof of concept.
  • Provide technical leadership on high-impact projects.

Conoscenze

Software development
Distributed systems
Large-scale infrastructure
AI/ML workloads
Design and architecture
Leadership

Formazione

Bachelor's degree or equivalent practical experience

Descrizione del lavoro

Google LLC is seeking a Senior Staff Software Engineer for Feed Recommendation Infrastructure in Mountain View, CA. The role emphasizes driving growth, building AI-enabled infrastructure, and leading cross-functional teams to deliver scalable, high-impact software solutions.

You will shape the architecture for large-scale AI workloads, collaborate with multiple teams, and guide the execution of complex projects from concept to production.

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