In this role, you’ll create software that automatically generates 3D environments or objects. Instead of random designs, your software will use real-world data, such as maps or object details, to make these environments look more realistic. The output from your work will be compatible with popular 3D platforms like Unreal and Unity, or as standalone 3D models. You’ll work closely with the Pipeline and AI/ML teams to plan and improve the way this 3D data flows through our production process, helping it fit well with game environments.

In this role, you’ll create software that automatically generates 3D environments or objects. Instead of random designs, your software will use real-world data, such as maps or object details, to make these environments look more realistic. The output from your work will be compatible with popular 3D platforms like Unreal and Unity, or as standalone 3D models. You’ll work closely with the Pipeline and AI/ML teams to plan and improve the way this 3D data flows through our production process, helping it fit well with game environments.

The Principal Engineer for Digital Workplace Technology is a senior technical leader within NBCUniversal’s Workplace Technology Engineering (WTE) organization, responsible for defining and delivering the next-generation digital workplace platform. This role spans enterprise collaboration, endpoint engineering, and AI platform engineering, including Microsoft 365, Copilot, Power Platform, and enterprise AI solutions.

We are looking for a Principal DevOps Engineer to architect and evolve the platform that powers NBC’s broadcast production environments. As a senior technical leader on the NBC Production Application Engineering team, you will design a Kubernetes-native platform that automates the provisioning, lifecycle management, and delivery of cloud infrastructure at enterprise scale. Our team leverages infrastructure-as-code, custom Kubernetes controllers, and GitOps workflows to orchestrate resources across complex multi-account and hybrid cloud environments.

The Senior Manager, Software Engineering leads a high impact pillar within the Legal & Privacy engineering organization, responsible for engineering the systems, platforms, and controls that enable the company to operate in compliance with global regulatory requirements and pro-actively managing enterprise risk. This leader is responsible for translating complex regulatory obligations into scalable, resilient, and engineering solutions enabling NBCUniversal. This role requires both deep technical and senior leadership with business acumen in the compliance and risk space.

The Senior Product Manager, Enterprise Data Products is a hands-on, technical product leader responsible for building and scaling Medallion data products and AI-powered agentic workflows that enable data-driven decision-making across NBCUniversal's brands and business units. We are looking for a builder, someone with a maker's mindset who actively leverages AI tools (Github Copilot, Claude, ChatGPT, Snowflake CoWork and more) to prototype, accelerate, and ship.

We are looking for an experienced and motivated Sr. Product Manager, Data & Analytics, to join our team within Operations & Technology. In this role you will be responsible for defining and delivering data products, using standard AI technology, and execute a strategic vision for enterprise data platforms and be a thoughtful and experienced leader, responsible for defining and prioritizing requirements for large-scale initiatives.

We are seeking an experienced Tech Lead Manager/Engineering Manager to grow out and lead a forward-deployed team of Machine learning engineers who will be building applications for a graphically intensive simulation platform. This role will serve as the central facilitator for platform director requests for engineers with technical expertise. Key Responsibilities Stakeholder Management: Steward the end-to-end planning, execution, and delivery of the platform-deployed machine learning applications.

We are seeking a Staff MLOps Engineer with experience building and scaling infrastructure for large 2D and 3D media datasets. You will be responsible for the "backbone" of our machine learning lifecycle, ensuring that our data pipelines are automated, reproducible, and performant at scale. Key Responsibilities Cross-Functional Coordination: Work with partner ML and Annotation engineers and TPMs to spec out infrastructure and training requirements. Pipeline Automation: Design and maintain robust CI/CD and CT (Continuous Training) pipelines for complex multimodal models.

In this role, you will drive geospatial data and tooling needs for a large-scale project. You will be part of a team of GIS engineers responsible for sourcing geospatial data in many modalities, and for building geospatial data automation and tooling in an AI/ML pipeline for new applications. In this role, you’ll research and gather data for specific regions from different sources, including imagery and other raster data, vector data, and point clouds. You will find and acquire data from free/public domain sources, as well as form and drive partnerships with commercial data providers.