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.

#J-18808-Ljbffr

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