Senior Staff: Unified Traffic Engineering Solver Lead

Google LLC

Sunnyvale (CA)

Presencial

USD 262.000 - 364.000

Jornada completa

Hace 8 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Google LLC seeks a Senior Staff Software Engineer for Unified Traffic Engineering, Infrastructure in Sunnyvale, CA. You will shape architecture, build scalable routing and network software, and lead cross-functional efforts across Google’s global networks.

Required are 8 years in C++, 5 years in design/architecture and product launches, and experience integrating AI/LLM tools. In-person interviews are typical for this role.

Formación

  • Bachelor's degree or equivalent practical experience required.
  • 8 years of experience programming in C++.
  • 5 years of experience with design and architecture; and testing/launching software products.
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Responsabilidades

  • Set the technical strategy and define the long-term software architecture for Unified Traffic Engineering systems.
  • Design, implement, and scale high-concurrency network infrastructure and solver algorithms.
  • Collaborate with partner network teams, hardware teams, and SRE to safely ship global product releases.
  • Mentor a team of software engineers to raise engineering standards and code health.

Conocimientos

C++ programming
Design & architecture
AI/LLM integration
Testing & deployment
Cross-team leadership

Educación

Bachelor's degree or equivalent practical experience
Master’s or PhD in Engineering/CS

Descripción del empleo

Google LLC seeks a Senior Staff Software Engineer for Unified Traffic Engineering, Infrastructure in Sunnyvale, CA. You will shape architecture, build scalable routing and network software, and lead cross-functional efforts across Google’s global networks.

Required are 8 years in C++, 5 years in design/architecture and product launches, and experience integrating AI/LLM tools. In-person interviews are typical for this role.

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