Manage and execute on the local GCSFuse team's main charter for AI/ML storage solutions, focus on AI/ML solutions, GCSFuse, FusionFS, Observability and Debuggability, benchmarking, performance investigation and storage optimizations and client side products.
Develop and enhance AI/ML client side solutions for storage.
Lead the team to design, develop and tune benchmarks for Google Cloud Platform (GCP) Storage systems with the goal to make GCP Storage the best for AI/ML workloads.
Assist key customers in on boarding their AI/ML workloads onto GCP storage.
Minimum qualifications:
Bachelor’s degree, or equivalent practical experience.
8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
3 years of technical leadership and people management experience.
Experience designing and implementing distributed systems.
Preferred qualifications:
5 years of experience as a team manager.
Experience with ML algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline.
Experience building infrastructure for models, diagnosis failures and performance analysis.
