Member of Technical Staff - AI Infrastructure

Veeda AI is building multimodal foundation world models for Physical AI at the intersection of AI, robotics, and embodied intelligence. The Member of Technical Staff will build and operate AI infrastructure, including GPU clusters, access controls, distributed data services, observability, resource forecasting, and end-to-end infrastructure projects.

Responsibilities:

• GPU Cluster Operations: Design, deploy, and operate Slurm-on-Kubernetes GPU clusters. Own the compute (CPU/GPU device health), interconnect (nvlink, Infiniband, RoCE), storage (linux file systems, Lustre), and scheduler (topology aware scheduling, QoS, partitions, fair-share) resources
• Access Control and Security: Design, deploy, and operate identity provisioning and access control for our source code, cluster, knowledge bases, data storages, and dev tools
• Network and Data: Design and maintain distributed data transmission and caching services that provide just-in-time delivery of data and checkpoints to the clusters in a timely and cost-effective manner. Collaborate with internal stakeholders and external vendors to find the optimal path between data and compute
• Observability & Hardware Health: Build the telemetry pipeline (Prometheus, Grafana, DCGM, BMC/Redfish) that catches Xid and ECC errors, thermal throttling, and link flaps, and work with cloud vendors to diagnose and resolve issues in timely manner
• Resource Forecasting: Work with Model and Data teams to determine resource requirements and delivery cadence for the next month/quarter/year. Lead PoC rounds with vendors for compute and data resources
• Infra-OPEX: Prepare operational expenses forecast and reports. Provide expert opinion on key infra spending decisions
• End-to-End Ownership: Lead projects through the complete software lifecycle, including technical specs, implementation, CI/CD, on-call support, and production observability