RadixArk is an infrastructure-first company focused on building world-class open systems for AI training and inference. The Member of Technical Staff — Training will work on large-scale distributed training infrastructure for AI models, enhancing performance and reliability across massive GPU setups.
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