Member of Technical Staff — Training

RadixArk is an infrastructure-first company seeking a Member of Technical Staff — Training to build and scale systems for training frontier AI models. The role involves working on large-scale distributed training infrastructure for LLMs and generative models, focusing on efficiency, accuracy, and reliability.

Responsibilities:

• Contribute to open-source large-scale post-training infrastructure Miles, and inference system SGLang
• Optimize throughput, scalability, and hardware efficiency
• Improve reliability and fault tolerance for long-running training jobs
• Develop training frameworks and infrastructure tooling
• Collaborate with model researchers to support frontier experiments
• Debug and resolve cross-layer performance bottlenecks
• Build observability systems for training performance and reliability
• Drive capacity planning and cluster utilization strategies
• Contribute to long-term training infrastructure architecture