3 days ago
Taipei, TaiwanSenior
Responsibilities
- Optimize end-to-end performance across AI infrastructure to ensure systems operate at peak capacity.
- Profile, debug, and troubleshoot complex AI/ML training and inference workloads.
- Build internal software and tools for AI/ML infrastructure and developer experience.
- Partner with cross-functional and cross-regional teams to improve infrastructure value and customer success.
- Provide technical enablement and support for cloud customers deploying and optimizing AI/ML workloads.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 5 years of software development experience in one or more programming languages.
- At least 3 years of end-to-end machine learning experience, including model deployment, evaluation, data processing, and debugging.
- Experience with generative AI, large language models, or machine learning infrastructure, including deployment, profiling, and performance tuning.
- Experience with distributed computing using GPUs or TPUs.
- Experience providing technical leadership across adjacent teams and aligning objectives and timelines.
- Experience with customer-facing technical support and enablement for enterprise or cloud customers.
- Ability to scope and solve undefined problems in a rapidly evolving AI technology environment.
- A master’s degree or PhD in computer science or a related technical field is preferred.
Tech Stack
Google Cloud
Categories
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.