Building and operating storage systems for frontier AI workloads, the full-time Storage Infrastructure Engineer will ensure reliable, high-throughput access to datasets and model artifacts while balancing performance, durability, availability, and cost in a remote environment. Key responsibilities Design and operate storage architectures for training datasets and inference artifacts Deploy and tune parallel filesystems and object storage for demanding AI workloads Implement access controls, monitoring, and operational automation for storage services Required qualifications 3+ years of experience building or operating production distributed storage systems Hands-on experience with a parallel or distributed filesystem or object storage platform Strong Linux administration and performance troubleshooting skills Experience automating infrastructure operations in Python, Go, or Bash Understanding of storage failure modes, data integrity, and recovery processes
Storage Infrastructure Engineer in workfromhome at Unknown Company
This position is listed as full time and able to be worked remotely.