Software Engineer - Supercomputing Platform & Infrastructure

As a Software Engineer on our Supercomputing Platform & Infrastructure team, you will design and build resilient and optimized solutions for AI workloads on massive Computing Clusters.

Work closely with the training and inference teams to deliver high performance and reliability across storage, networking, and distributed computing designs.

Build the software stack to run massive-scale (thousands of GPUs), highly available supercomputing infrastructure

Troubleshoot and resolve complex issues across hardware accelerated devices, networking, storage subsystems (local NVMe/Block Storage/NFS), OS, drivers and cloud environments, and automate detection and recovery processes

Operate data-intensive workloads at petabyte-scale

Increase the ease-of-use and self-serviceability of the compute platforms at Magic through top-notch documentation and developer workflow design

Investigate and resolve incidents across security and availability

Experience working with production GPU deployments, data-intensive applications, large-scale model training and HPC

Strong understanding of networking-, storage- and data-related technologies

Experience with GCP, AWS, Azure, OCI or similar cloud platforms

Strong software engineering skills