Member of Technical Staff — Supercomputing

RadixArk is an infrastructure-first AI company focused on building production-grade AI systems. They are seeking a Member of Technical Staff — Supercomputing to develop, deploy, and manage AI infrastructure for training and inference workloads, ensuring reliability and performance in production environments.

Responsibilities:

• Deploy SGLang, Miles, and RadixArk infrastructure across customer, cloud, VPC, and dedicated cluster environments
• Bring up production inference and training workloads for open-weight and customer-specific models
• Own deployment reliability, environment management, rollout processes, and production validation
• Debug issues across LLM serving, Kubernetes, networking, GPU infrastructure, storage, cloud capacity, and customer systems
• Build and improve observability for latency, throughput, uptime, error rates, GPU utilization, memory usage, capacity, and workload health
• Improve monitoring, alerting, incident response, runbooks, postmortems, and operational processes
• Help design capacity planning, autoscaling, and reliability strategies for GPU-intensive workloads
• Work closely with engineering teams to improve deployment tooling, automation, CI/CD, and production readiness
• Partner with customer engineering teams during POCs, production launches, and ongoing operations
• Feed deployment and reliability pain points back into the product and engineering roadmap
• Help build the foundation for a world-class supercomputing deployment and reliability organization