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Software Engineering Manager, Cloud AI/ML Infrastructure

Google· Software Engineering (Cloud AI/ML Infrastructure)
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Taipei, TaiwanFull-timePosted 1w ago

About the role

Software Engineering Manager overseeing AI/ML infrastructure across multiple teams and sites, leading technical direction, roadmap, and people management in a global, matrixed organization.

Responsibilities

  • Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
  • Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
  • Develop the mid-term technical goal and roadmap within the scope of your team. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
  • Design, guide, and vet systems designs within the scope of the broader area, and partner closely with cross-functional, cross-regional teams to ensure our AI/ML infrastructure delivers exceptional value and drives success for our customers.
  • Lead the design and development of tools and software for our AI/ML Infrastructure to deliver end-to-end developer experience.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 3 years of experience in a technical leadership role.
  • 2 years of experience in a people management or team leadership role.

Skills

Required:Software developmentML design and ML infrastructureTechnical leadershipPeople management
Last updated Oct 23, 2026. Interested? Apply on the company site.

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