Senior AI Program Lead: Multi-Partner Deployments

NVIDIA Corporation; Texas; On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is hiring a Senior Technical Program Manager to lead the technical strategy and execution of Forward Deployed Engineering engagements across NVIDIA Nemotron and NVIDIA Cosmos. This role combines solution‑architect depth with engagement leadership to move AI use cases from concept to production, coordinating NVIDIA, partners, and customers throughout.

The ideal candidate has 6+ years in technical program management, hands‑on Python, cloud/GPU infrastructure, and experience

Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
• 6+ years in technical program management, solutions architecture, forward deployed engineering, or technical customer delivery.
• Practical comfort with Python and cloud and GPU infrastructure.
• Hands-on experience using AI agents and agentic workflows to run programs.

Responsibilities

• Set the technical direction for each FDE engagement and act as main contact for NVIDIA, partner, and end customer.
• Automate program tasks and create agent workflows; review outputs with sound judgment.
• Understand use cases with FDEs to scope engagements and manage risks early.
• Define repeatable delivery playbooks, templates, and agent workflows; drive engagement through delivery.

Skills

Python

AI agents

Program management

Cloud infra

Education

CS/Engineering degree or equivalent

Job description

NVIDIA Corporation is hiring a Senior Technical Program Manager to lead the technical strategy and execution of Forward Deployed Engineering engagements across NVIDIA Nemotron and NVIDIA Cosmos. This role combines solution‑architect depth with engagement leadership to move AI use cases from concept to production, coordinating NVIDIA, partners, and customers throughout.

The ideal candidate has 6+ years in technical program management, hands‑on Python, cloud/GPU infrastructure, and experience