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Google

Software Engineering Manager, Cloud ML Compute Services (Mandarin, English)

Google
BusinessSingaporeFull-time5 days ago
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About the role

AI summarised

Software Engineering Manager for Cloud ML Compute Services at Google, leading a team to optimize AI/ML workloads on Google Cloud infrastructure. Requires fluency in Mandarin and English to partner with local clients and regional partners.

BusinessFull-timeGeneral

Key Responsibilities

  • Recruit, provide mentorship and technical guidance to the team including road map and direction for team deliverables as well as efficient execution.
  • Partner with customers to optimize the performance of their AI/ML models on Google Cloud infrastructure.
  • Lead performance profiling, debugging, and troubleshooting of customer training and inference workloads.
  • Collaborate with internal infrastructure, ML teams to improve Google Cloud's ability to support AI workloads.
  • Develop and deliver training materials and demos to empower customers and internal teams.
  • Contribute to the continuous improvement of our products by identifying and reporting bugs and suggesting enhancements.
  • Proactively identify and address technical bottlenecks hindering customer success.

Requirements

  • 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.
  • Ability to communicate in Mandarin and English fluently to partner with local clients and regional partners.
  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • Experience collaborating with customers and field teams.
  • Experience developing internal quality and repro testing to cover critical user journeys.
  • Experience working in AI/ML and Infrastructure technologies.
  • Ability to drive product improvement through bug fixes and feature enhancements.