Director of Capacity Engineering - DGX Cloud

Nvidia • Santa Clara, CA

68d • $284,000 - $425,500

About The Position

Join the team building the backbone of the world's most sophisticated AI cloud. NVIDIA DGX Cloud delivers multi-exascale, GPU-accelerated computing on demand. We are looking for a senior engineering leader to own capacity strategy, fleet reliability, and operational excellence as DGX Cloud scales globally. If you thrive with large-scale infrastructure challenges and want to invent the future of AI computing, we'd love to hear from you!

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• Equity and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees