Member of Technical Staff, Supercomputing Platform & Infrastructure

About the Company

Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone.

Responsibilities

• 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

Requirements

• Strong systems engineering fundamentals
• Deep, hands-on experience with Terraform, including module design and large-scale deployments
• Experience operating production GPU infrastructure or high-performance distributed systems
• Strong understanding of networking and storage systems
• Experience with major cloud platforms (GCP, AWS, Azure, OCI, etc.)
• Track record of owning production-critical infrastructure end-to-end

Benefits

• Annual salary range between $200K - $550K depending on experience
• Equity is a significant part of total compensation
• 401(k) plan with 6% salary matching
• Generous health, dental and vision insurance
• Unlimited paid time off
• Visa sponsorship and relocation stipend to San Francisco