
About the role
At Baseten, the team focuses on building specialized container runtimes and storage solutions tailored for AI inference workloads. The company is at the forefront of AI infrastructure, supporting prominent AI companies by enabling efficient deployment of large models. The role involves leading a team of engineers to develop and maintain storage products that improve cold start times and scalability for AI models, ensuring reliability and performance.
The Engineering Manager for Storage Products will oversee the design, development, and operation of storage systems like the Baseten Delivery Network, which accelerates model loading and reduces startup latency. The role requires guiding architecture, managing a team, and collaborating with cross-functional teams to optimize storage solutions for diverse cloud and cluster environments.
Candidates should have experience managing systems or storage engineering teams, with hands-on expertise in distributed storage, caching, or content-addressable storage. The work is hybrid, based in San Francisco, and involves both leadership and technical contributions, including code review and system design. The position is full-time and involves strategic planning, technical direction, and team development.
Skills
Locations
- San Francisco, United States