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 (Manitoba)
🏢 2100 NVIDIA USA
📍 Manitoba