Work with Aerial team driving the next wave of AI-RAN Telco products. Responsible for the product lifecycle for ARC products, from concept through launch and lifecycle management.
Lead technical programs across AI Factory development, deployment, and support, working with engineering and OEM partners to close readiness gaps and resolve dependencies as customer needs evolve.
In this role, you will be responsible for managing a team of highly skilled engineers, focusing on the development of an accelerated image and data processing solutions.
Drive development and productization of NVIDIA’s DGX datacenter products and L11 systems. Lead debug efforts for L11 rack-level integration, creating and applying tools/scripts for failure identification and root cause analysis.
Working closely with product design engineers, you'll perform PCB layout of high speed/high-density value conscious PCBs for all business units at NVIDIA (GPU Desktop, Notebook, Automotive, Professional, Data Center, Deep Learning and AI), all using Cadence PCB design tools…
Design and implement distributed cloud infrastructure at scale — spanning compute, storage, networking, and GPU capacity management across IaaS, PaaS, and SaaS models zendesk.
Define and manage program schedules, deliverables, and turning points aligned with customers and partners roadmaps and requirements.
Lead the design, development, and deployment of AIOps & Observability platforms, including metrics, logs, traces, events, alerts, dashboards, and visualizations.
Lead and mentor a team of product development engineers responsible for HBM bringup, characterization, and production ramp.
Own program outcomes end-to-end — define and manage schedules, surface dependencies before they block work, and drive multi-functional alignment from architecture review through tape-out and bring-up; you’re accountable for delivery , not only oversight.
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