Jobs at NBCUniversal

Lead the vision, strategy, and roadmap for mobile product experiences. Partner with design, engineering, analytics, and business teams to define requirements, prioritize features, run research and experimentation, and drive onboarding, engagement, retention, and monetization. Own launch readiness, post-launch evolution, and help scale the mobile product organization.

Lead the creation and pipeline design for procedurally generated vegetation, organic assets, and architectural facade kits. Manage and mentor a procedural art team, collaborate with Houdini/Tech Art and Environment teams, optimize workflows for scalability across platforms, and ensure production readiness, quality, and risk visibility for large-scale environments.

Lead and mentor a character art team to create high-quality, real-time characters at scale across body, face, hair, and wardrobe. Own visual quality, scalability, performance (LODs/runtime), and modular pipelines. Collaborate with Tech Art, Animation, and Design to integrate assets for hero and large population systems.

Lead and define material systems for character or world assets, mentor a team, create scalable shader/material libraries and pipelines, ensure integration with rendering/runtime systems across platforms from high-end to mobile, and collaborate with Art, Tech Art, Engineering, and Lighting to balance visual fidelity and performance.

Provide advanced deskside and remote IT support, administer user accounts and mailboxes, configure and manage IT platforms, execute operational tasks via internal tooling, oversee onboarding/offboarding technical workflows, document procedures, and collaborate with engineering to automate recurring activities.

Lead the execution of lighting direction across environments, gameplay, and cinematics. Manage and mentor a team of lighting artists, ensure consistent, high-quality lighting that supports mood, realism, readability and storytelling, and collaborate with World, Character, VFX, Design, and Tech Art. Optimize lighting for multi-platform performance, support production planning, review implementations, and surface risks and quality issues.

Design, implement, and maintain scalable UE5 gameplay systems for systemic, multiplayer, and user-generated content. Build features for traversal, combat, vehicles, AI interactions, and player-driven mechanics. Support networking, replication, debugging, profiling, and cross-disciplinary collaboration to prototype, iterate, and productionize robust, extensible gameplay frameworks.

Design, implement, optimize, and maintain Unreal Engine systems for iOS and Android. Focus on performant C++ code, profiling and debugging across CPU/GPU/memory/power constraints, platform integrations, and tooling. Mentor junior engineers and collaborate with artists, designers, and engineers to deliver scalable mobile experiences and continuous live-ops support.

Design, implement, optimize, and maintain performance-critical systems in Unreal Engine across Engine, Rendering, AI, or UI. Translate requirements into scalable C++ code, debug complex runtime issues, profile and optimize performance, integrate with artists/designers, mentor junior engineers, and contribute to technical architecture and engine customizations for production-ready game systems.

Design and implement a scalable UGC framework in Unreal Engine: data models, runtime systems, scripting model, APIs, security/sandboxing, and AI-assisted creation tooling. Collaborate across gameplay, online, and tools teams, produce prototypes and documentation, and mentor engineers.

Design and maintain high-fidelity 2D/3D simulation environments, engineer reward functions, implement and optimize RL algorithms (PPO, SAC, Offline RL), coordinate cross-functionally, and develop sim-to-real strategies (domain randomization/adaptation) to ensure autonomous agents perform reliably in real-world multi-sensor settings.

Support creation, tracking, and delivery of game assets by building schedules, tracking progress and dependencies, coordinating priorities across disciplines, facilitating reviews and approvals, maintaining production tools, and escalating risks to production leadership to ensure milestone readiness.

Lead pillar-level delivery for a large-scale AAA game project by translating priorities into sprint plans, facilitating Scrum/Kanban rituals, managing dependencies and risks, keeping backlogs actionable, supporting cross-pod communication, improving workflows, and reinforcing a collaborative, accountable team culture to ensure milestone-driven production.

Lead and scale asset production pipelines for a large AAA game, managing Associate Producers, vendors, and co-development partners. Define workflows for intake, tracking, review, approval, integration and delivery; ensure visibility across priorities, dependencies, risks and milestones; maintain asset tracking systems (e.g., Jira); coordinate cross-discipline stakeholders; produce delivery reports and support milestone readiness and quality gates.

Design high-level systems that integrate ML models into production, enable ML–rendering engine interaction, build language-agnostic APIs/wrappers and microservices, evaluate build-vs-buy options, coordinate cross-functional integration requirements, and decompose product vision into scalable ML-enabled architecture.

Source, aggregate, and manage geospatial datasets (imagery, rasters, vectors, point clouds) and build automated tooling (GDAL, Python, in-house tools) to preprocess and postprocess data for AI/ML pipelines while partnering with AI/ML, pipeline, and product teams.

Source, aggregate, and manage geospatial datasets (imagery, raster, vector, point clouds) for AI/ML use. Build and maintain automated preprocessing and postprocessing tools (using open-source libraries like GDAL/PROJ and Python). Partner with AI/ML, Pipeline, Product teams, and leadership to ensure data coverage, quality, and readiness for model development and deployment.

Design, build, and own scalable MLOps infrastructure for large 2D/3D multimodal datasets. Automate CI/CD and continuous training pipelines, implement dataset versioning and storage strategies, and deploy monitoring/observability systems to track model performance and data drift across production ML systems. Collaborate with ML, annotation teams, and TPMs to define requirements.

Serve as the primary HR partner for a Canadian (Quebec-focused) workforce: advise leaders on employee and labor relations, workforce planning, hiring strategies, immigration support, compliance with Quebec and federal employment and privacy laws, administer leaves and health & safety programs, manage employee relations and change management, and align HR processes with US teams while ensuring bilingual (EN/FR) communications.

Manage day-to-day Montreal office operations and employee experience programs: vendor and facilities coordination, supplies and inventory, event and meeting logistics, onboarding support, front-desk hospitality, workplace safety initiatives, and general administrative support for leadership.