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 clusters Build monitoring, logging,



and alerting systems Optimize storage for AI/ML workload performance Automate storage operations and service lifecycle improvements Participate in on-call response and root cause analysis Requirements:

BS degree or equivalent experience with 8+ years Experience with distributed and high-performance storage solutions Understanding of block, file, and object storage Experience with NFS, SMB, iSCSI, S3, and RDMA Programming experience with C/C++, Java, Python, Go, NodeJS, or Bash Apply storage architecture, automation, and systems expertise to improve NVIDIA’s large-scale production storage reliability and performance.

📌 Senior Storage Production Engineer (Winnipeg)
🏢 2100 NVIDIA USA
📍 Winnipeg