Principal Technical Program Manager, Relational Deep Learning Platform

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

Benefits offered by this job

Medical/Dental/Vision

401(k) with company match

Equity (Stock)

Flexible PTO

Parental leave

Learning & development

Job summary

NVIDIA is seeking a Principal Technical Program Manager in Santa Clara, CA to lead end-to-end ML/AI programs spanning research, engineering, data, product, and legal. You will coordinate with infrastructure and platform teams to align compute capacity and deployment, drive releases, and report status to executives.

Requirements include 15+ years in PM/engineering/ML delivery, ability to lead complex multi-stakeholder programs, and comfort interpreting model results and training trade-offs.

Qualifications

• Bachelor’s degree or equivalent in a technical field.
• 15+ years in technical program management, engineering, or ML delivery.
• Experience leading end-to-end multi-stakeholder programs.
• Comfort interpreting ML results and training trade-offs.
• Ability to establish operating rhythms and communicate with executives.
• Familiarity with Agile, roadmapping and risk management.

Responsibilities

• Deliver task-specific models across domains from problem to hand-off.
• Coordinate with infra, systems and platform groups on compute and serving.
• Guide release management, versioning, and compliance approvals.
• Maintain program rhythm: planning, reviews, risks, dependencies.
• Define and track model quality, training speed, and release timing.
• Collaborate across research, engineering, data, product, legal, and partners.

Skills

Program leadership

ML/AI delivery

Cross-functional collaboration

Communication with execs

Agile methodologies

Automation tooling

Education

Bachelor’s degree in CS/Engineering or related field

Job description

NVIDIA is redefining what is possible with AI, and we are building the next generation of relational deep learning for enterprise data. Our platform learns directly from the structure and relationships inside relational databases and heterogeneous graphs, unifying GPU‑accelerated graph analytics and graph machine learning in a single stack. It powers high‑impact workloads such as fraud detection and recommender systems and helps customers unlock more value from their data. We care deeply about turning frontier AI research into reliable products that teams can trust every day, and we are excited to add a Principal Technical Program Manager who will help us do exactly that!

What you will be doing:

• 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• Delivering graph ML, recommender, or fraud‑detection systems into production, or shipping ML platforms and frameworks that other teams build on.
• Working with graph machine learning, GNNs, relational or tabular data, graph analytics libraries such as cuGraph, and the modern data stack (warehouses, feature stores, and data pipelines).
• Running programs that span platform and infrastructure teams and model and research teams, including GPU and compute capacity planning for training and serving.

Benefits

• medical, dental, and vision insurance
• a 401(k) with company match
• an employee stock purchase plan
• flexible, generous paid time off
• parental leave
• ongoing learning and development support

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 31, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.