Principal AI Platform TPM Production ML & Graph Analytics

NVIDIA; Santa Clara (CA); On-site; USD 240,000 - 380,000; Full time

Benefits offered by this job

Medical insurance

401(k) match

Employee stock purchase plan

Paid time off

Parental leave

Learning and development support

Job summary

NVIDIA is seeking a Principal Technical Program Manager to lead complex ML/AI programs across research and engineering. You will coordinate with infrastructure, data, and product teams to deliver end‑to‑end solutions and ensure scalable, reliable deployments.

The role requires strong leadership, deep technical understanding of ML pipelines, and ability to communicate with executives. You will drive release planning, risk management, and program health metrics while delivering value to customers.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience.
• 15+ years of experience in technical program management, engineering, or data/ML delivery, including significant time in ML/AI or large‑scale data environments.
• Experience leading complex, multi‑stakeholder programs end to end in research and engineering organizations, with evolving requirements and clear delivery timelines.
• Comfort working with ML researchers, interpreting model and evaluation results, and making decisions about training pipelines, data, and infrastructure trade‑offs.
• Ability to build operating rhythms from scratch, influence without formal authority, and communicate clearly with both highly technical teams and senior executives.
• Familiarity with modern program‑management practices (for example, Agile, roadmapping, risk and dependency management) and the judgment to use them effectively in fast‑moving research settings.
• A hands‑on, builder mindset that includes creating automation and tooling, using AI in daily work, and applying AI to streamline program operations, status reporting, risk detection, and release workflows.

Responsibilities

• Deliver task‑specific models for domains such as fraud detection and recommender systems, moving from problem definition and data requirements through training, benchmarking, and hand‑off to product and customer teams.
• Coordinate closely with infrastructure, systems, and platform groups to align compute capacity, training and serving environments, and platform features that models depend on.
• Guide release management for both the platform and models, including experiment‑to‑production hand‑offs, versioning, compatibility, model cards, benchmarks, and safety and compliance approvals.
• Maintain the operating rhythm for the program, leading planning, reviews, risk and dependency tracking, and decision forums across research, engineering, data, product, legal, and other partners.
• Define and track program health metrics such as model quality, training speed, evaluation coverage, and time‑to‑release, and share clear status, risks, and decisions in executive reviews.
• We work as one team, we solve hard problems together, and we celebrate when complex programs ship and make a difference for customers.
• We believe people who enjoy building, learning, and collaborating across teams will thrive in this role.

Skills

Program management

Leadership

ML delivery

Communication

Agile

Education

Bachelor's degree or equivalent in CS/Engineering

Tools

cuGraph

Job description

NVIDIA is seeking a Principal Technical Program Manager to lead complex ML/AI programs across research and engineering. You will coordinate with infrastructure, data, and product teams to deliver end‑to‑end solutions and ensure scalable, reliable deployments.

The role requires strong leadership, deep technical understanding of ML pipelines, and ability to communicate with executives. You will drive release planning, risk management, and program health metrics while delivering value to customers.