Magic

Software Engineer

• Design and implement kernels that support high-performance long-context behavior
• Ownership of kernel design, implementation, deployment, and production reliability
• Focus on robustness, extensive testing, and functional correctness, while pushing on performance
• Evaluate porting Magic’s compute kernels to alternative hardware options
• Co-design kernels with understanding and interaction with training, inference, and RL teams

Member of Technical Staff – Kernels

• Design and operate large-scale GPU clusters for training and inference
• Build and maintain infrastructure using Terraform across cloud and hybrid environments
• Deploy, operate, and optimize K8s clusters used to schedule and manage AI workloads
• Develop modular, scalable IaC patterns for compute, networking, and storage provisioning
• Improve deployment reproducibility, environment consistency, and operational safety
• Optimize networking and storage systems for high-throughput AI workloads
• Automate fault detection and recovery across distributed clusters
• Debug complex cross-layer issues spanning hardware, drivers, networking, storage, OS, and cloud
• Improve observability, monitoring, and reliability of core platform systems

Member of Technical Staff – Kernels

Member of Technical Staff, Supercomputing Platform – Infrastructure