As a Senior Storage Architect at IBM in Poughkeepsie, NY, you will lead technical initiatives for high-stakes AI infrastructure projects, collaborating closely with C-level executives to align storage and networking strategies with business goals. Your daily tasks include designing end-to-end data pipelines that integrate IBM Storage Scale (GPFS) with NVIDIA DGX systems, optimizing network fabrics like InfiniBand and RoCE for maximum performance, and conducting Proof of Concepts to validate technical superiority over competitors such as VAST Data, Weka, and DDN. You will leverage your expertise in GPUDirect Storage, RDMA-enabled data paths, and cloud-native technologies like Red Hat OpenShift and Kubernetes to ensure seamless integration and high throughput. This role demands extensive experience with parallel file systems, low-latency networking, and a deep understanding of AI infrastructure challenges across various industries including financial services and life sciences.
Python
TypeScript
Go
Rust
C++
Synthetic data generation
GPU-backed inference systems
Multi-agent workflows
Orchestration patterns
Complex long-running task systems
MCP
A2A-style communication patterns
Secure execution
Sandboxing
Secrets handling
Auditability
CI/CD