Nvidia Director Capacity Engineering – DGX Cloud 

United States, California 

500046822

What you’ll be doing:

• Lead end-to-end capacity strategy and forecasting for DGX Cloud across regions and cloud partners (Azure, OCI, GCP, etc.).

• Define and implement golden-image standards for DGX nodes: firmware, CUDA/NVIDIA drivers, NCCL/InfiniBand, NVLink/NVSwitch fabrics.

• Invent and operate automated maintenance and upgrade frameworks with near-zero customer impact, including guardrails, rollback plans, and buffer management.

• Own service-level objectives (SLOs) for GPU availability, efficiency, and training/inference reliability; drive continuous improvement and root-cause analysis.

• Guide development of orchestration tools and APIs coordinated with NVIDIA tools and DGX Cloud provisioning systems.

• Partner with DGX Cloud software, data-center engineering, supply chain, and finance to align capacity, cost, and rollout priorities.

• Recruit, mentor, and lead an elite team of capacity engineers, SREs, and tooling developers.

What we need to see:

• 12+ overall years in large-scale infrastructure or site-reliability engineering, with 5+ years in senior leadership.

• Bachelors or Masters in an engineering field or equivalent experience.

• Deep understanding of GPU-accelerated compute, including DGX systems, NVLink/NVSwitch fabrics, InfiniBand/Ethernet networking, and high-performance storage.

• Shown success in capacity planning and fleet consistency across multi-region or multi-cloud environments.

• Expertise in driver/firmware management (CUDA stack, NCCL, OS/kernel dependencies) and distributed training workloads.

• Proven track record to deliver against strict availability and performance SLOs at hyperscale.

Ways to stand out from the crowd:

• Experience with hybrid cloud deployments and hyperscale partnerships.

• Familiarity with Kubernetes GPU scheduling, and AI/ML workload patterns.

• Track record of influencing hardware/system roadmaps (DGX, Grace Hopper, next-gen GPUs) based on capacity insights.

• Strong interpersonal skills to align executives, engineers, and partners around ambitious capacity targets.