AI Infrastructure Storage Research and Development Engineer or Expert
Active AI foundation-model company offering multimodal models, consumer AI products, and an enterprise/developer API platform.
Funding history
About MiniMax Group Inc.
MiniMax develops proprietary multimodal foundation models spanning language, video, speech, and music, and operates AI-native products including MiniMax Agent, MiniMax Design, MiniMax Audio, Talkie, Hailuo AI, and an Open Platform.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and build high-performance storage infrastructure for self-built AI computing clusters. You will develop RDMA and NVMe data paths, work on core storage modules, solve storage challenges for model training and inference, and optimize throughput, latency, GPU utilization, and cost.
Responsibilities
- Participate in the overall architecture design for storage migration from cloud environments.
- Build high-performance storage systems for self-built AI computing clusters.
- Develop high-throughput, low-latency data access paths based on RDMA and NVMe.
- Develop core modules such as clients, metadata services, storage engines, and data protection.
- Solve storage challenges for checkpoints, training data, and KV cache in large-model training and inference.
- Optimize throughput, IOPS, tail latency, CPU overhead, GPU utilization, and storage cost.