> Markdown version of [/jobs/ext/2284137-principal-technical-program-manager-relational-deep-learning-platform](https://www.wearedevelopers.com/jobs/ext/2284137-principal-technical-program-manager-relational-deep-learning-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Technical Program Manager, Relational Deep Learning Platform - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States - **Salary:** $240,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Big Data, Fraud Prevention and Detection, Recommender Systems, Release Management, Management of Software Versions, Deep Learning, Information Technology - **Published:** August 28, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Technical-Program-Manager--Relational-Deep-Learning-Platform-_JR2021843-1 ## About the Role * 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. ## Description As Principal Technical Program Manager, you will lead the relational deep learning program from research to production. You will connect ML researchers, infrastructure, and platform teams so work stays aligned and delivers real impact. * 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [ShapeShift: Reinventing Agile for a B2B SaaS Scale-Up](https://www.wearedevelopers.com/videos/1655-shapeshift-reinventing-agile-for-a-b2b-saas-scale-up) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [30 Golden Rules of Deep Learning Performance](https://www.wearedevelopers.com/videos/11-30-golden-rules-of-deep-learning-performance) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)