Senior Storage Production Engineer

Design resilient storage systems at NVIDIA using distributed storage, automation, and performance engineering for demanding AI/ML workloads. Support high availability and low-latency data access.As a Senior Storage Production Engineer, you will design, implement, and support large-scale storage clusters. The work spans storage architecture, data management, systems, networking, and software development. You will improve internal and external-facing GPU cloud services through monitoring, automation, capacity management, and continuous optimization.Key Responsibilities:
Design and support scalable, highly available storage clustersBuild monitoring, logging, and alerting systemsOptimize storage for AI/ML workload performanceAutomate storage operations and service lifecycle improvementsParticipate in on-call response and root cause analysisRequirements:
BS degree or equivalent experience with 8+ yearsExperience with distributed and high-performance storage solutionsUnderstanding of block, file, and object storageExperience with NFS, SMB, iSCSI, S3, and RDMAProgramming experience with C/C++, Java, Python, Go, NodeJS, or BashApply storage architecture, automation, and systems expertise to improve NVIDIA’s large-scale production storage reliability and performance.
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