Modal

Modal is a serverless cloud platform purpose-built for running AI/ML workloads, data processing pipelines, and compute-intensive tasks, offering a developer experience that lets engineers run code in the cloud with minimal infrastructure configuration by defining compute requirements directly in Python. The company's engineering challenges include building a container orchestration layer that achieves sub-second cold start times, developing GPU scheduling systems that efficiently allocate scarce accelerator resources across heterogeneous workloads, and creating the networking and storage infrastructure required for high-throughput data transfer between distributed compute nodes. Their technical scope spans container runtime engineering, distributed systems, GPU virtualization, and the developer tools that abstract infrastructure complexity into a Python-native interface. Modal's hiring patterns reflect the emerging infrastructure layer for AI workloads, with demand for systems engineers, distributed computing specialists, and infrastructure developers who can build high-performance cloud primitives while maintaining the simplicity of a developer-first platform.