Deliver production-ready code for storage solutions that address the specific demands of AI/ML workloads.
Design scalable and performant storage solutions. Drive the technical design for features, making data-driven decisions to optimize system efficiency and reliability.
Identify and resolve performance issues and intricate system issues. Develop innovative, practical solutions to technical challenges that arise at the intersection of storage and machine learning.
Partner with product and engineering stakeholders across the storage domain to deliver high complexity features and products.
Research into the existing usage, understanding API and service boundaries, identifying customer needs, and finding existing pain points.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience with building and developing infrastructure, distributed systems or networks, or experience with compute technologies.
2 years of experience in a people mentorship supervision role.
Preferred qualifications:
8 years of experience testing, and launching software products.
5 years of experience with software design and architecture.
Experience with AI/ML workloads, file systems and Linux kernel internals.
Experience with cloud computing platforms (e.g., Google Cloud Platform, etc.).
Experience writing high-quality Rust/Java/C++/Go code.
