Staff Storage Platform Engineer (AI Storage) - Remote

Description: Design, build, and operate the AI storage layer for large-scale GPU infrastructure. Architect and evolve storage platforms across edge and core deployments, supporting AI workloads. Combine architectural ownership with hands-on execution in storage design, deployment, and performance engineering. Requirements: Strong experience in designing and operating distributed storage systems for high-performance compute environments. Proven expertise in storage architectures for AI inference or training platforms. Deep knowledge of Linux storage and I/O stack, and experience with GPU-accelerated workloads. Familiarity with Kubernetes storage integrations and large-scale storage clusters. Strong automation skills using Python and/or Bash, and experience in leading technical initiatives. Benefits: Attractive compensation package reflecting expertise and experience. Friendly, diverse work environment with flexibility and a hybrid-friendly approach. Opportunity to be part of a fast-growing scale-up with a mission to make a positive impact.