Modal
This role involves designing, building, and maintaining the high-performance distributed object storage system that underpins Modal's serverless platform. The engineer will optimize caching, preloading, and peer-to-peer layers to ensure low-latency data access and manage durability and cost at petabyte scale. The position requires deep expertise in distributed systems, cloud infrastructure, and low-level operating system foundations.
Modal is a cutting-edge serverless platform designed for AI and data teams, enabling users to run CPU, GPU, and data-intensive compute tasks at scale. It offers seamless developer experiences with features like sub-second cold starts, instant autoscaling, and the flexibility to bring your own code for various machine learning tasks. With a recent funding boost, Modal is positioned to enhance its infrastructure capabilities for businesses focused on innovative AI solutions. The platform is tailored for developers seeking high-performance computing with minimal setup complexity.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Modal.
Modal Labs Targets $2.5 Billion Valuation for AI Inference Work
1 month ago