Director, Technical Program Management - AI and ML Platforms

NVIDIA•Us, CA

11d•Hybrid

About The Position

The DGX Cloud organization builds and operates the AI infrastructure that makes this innovation possible. We are seeking a Director of Technical Program Management (TPM) to lead AI/ML Platform initiatives within the DGX Cloud Infrastructure team. This role will coordinate extensive, multi-functional programs that compose how NVIDIA researchers develop, train, and deploy AI models on our global DGX Cloud platform. You will lead a team of TPMs responsible for orchestrating compute platforms, cluster bring-ups, workload scheduling, and platform enablement across NVIDIA’s most advanced GPU systems. As Director of Technical Program Management for AI/ML Platforms, your mission is to accelerate NVIDIA’s research and product innovation by delivering a resilient, high-performance AI platform that seamlessly integrates hardware, orchestration, and developer productivity. You will bridge NVIDIA Research, DGX Engineering, and Cloud Operations ensuring our infrastructure evolves to meet the rapidly expanding scale and complexity of AI workloads.

Requirements

15+ overall years of technical program management experience, including 7+ years leading and developing TPM teams in infrastructure, AI/ML, or platform engineering domains.
Demonstrated success in implementing AI and machine learning systems and platform initiatives at a large scale encompassing workload coordination, data pipeline incorporation, model training environments, and GPU fleet supervision.
Deep technical understanding of AI/ML workflows, job scheduling (Slurm, Kubernetes, hybrid orchestration), and large-scale distributed systems.
Proficiency in optimizing resource usage and monitoring performance metrics in compute-heavy settings.
Experience building platforms across cloud and on-prem hybrid architectures, integrating with internal and external MLOps stacks.
Proficiency with observability and telemetry tools (e.g., Grafana, Prometheus) for infrastructure monitoring and performance analysis.
Bachelor or Master in Computer Science, Engineering, or related field (or equivalent experience).

Nice To Haves

Proficient in AI/ML systems, model lifecycle oversight, and developer tools for extensive training tasks.
Track record driving R&D productivity platforms and reducing friction for machine learning practitioners.
Experience in new product introduction (NPI) for research and infrastructure systems.
Deep familiarity with cloud compute and orchestration technologies, and a passion for automation and operational excellence.
Executive communication skills, able to translate complex technical programs into clear business and research outcomes.

Responsibilities

Lead and scale the Technical Program Management organization responsible for the DGX Cloud AI/ML platform, enabling over 1,000+ NVIDIA researchers globally.
Drive the roadmap for end-to-end AI/ML infrastructure, spanning cluster bring-up, workload orchestration, GPU resource management, and integration with MLOps pipelines.
Collaborate with leaders in technology and innovation to outline platform needs, synchronize computing approach with AI model advancement, and provide a seamless researcher journey.
Lead complex programs involving next-generation systems (e.g., GB200) and fleet-wide scaling initiatives across OCI, GCP, and other hyperscalers.
Own platform efficiency and capacity management, using deep understanding of scheduling systems (e.g., Slurm, hybrid models) to optimize job placement, utilization, and turnaround time.
Establish data-driven operational metrics availability, occupancy, wait times, throughput and use them to guide continuous improvement and prioritization.
Implement governance and visibility frameworks that drive alignment, predictability, and accountability across AI platform initiatives.
Represent DGX Cloud programs to senior leadership, clearly articulating impact, risk, and value across engineering and research organizations.