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Responsibilities
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.
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