Principal AI Software Engineer, Multimodal Systems (Gaming)

Implements high-performance C++ systems supporting data acquisition, real-time event tracking, and gameplay video generation. Develops tooling for video dataset expansion, clip triggering logic, and integration with Razer Cortex APIs. Contributes to CV/audio feature extraction modules and dataset processing automation. Works on video decluttering and Automontage (short-form video mashup) features. Ensures code reliability, maintainability, and compatibility across supported games. Participates in performance optimization and scaling of the multimodal model pipeline. Supports SDK development with stable and efficient runtime components.

Mission: Develop high-performance C++ systems for real-time game data acquisition, event tracking, and video generation within Razer’s AI ecosystem.

• Implement data acquisition and clip-triggering logic for deterministic WYVRN events.
• Develop automation tools for video dataset collection and labeling.
• Contribute to video decluttering and Automontage pipeline development.
• Collaborate on CV/audio processing integration.
• Optimize runtime components for Cortex and SDK deployment.
• Maintain compatibility and performance across expanding game libraries.

• Efficient, low-level software development.
• System reliability, maintainability, and optimization under load.
• Integration with APIs, SDKs, and game engines.
• Structured code management and pipeline debugging

Pre-Requisites :

• Strong proficiency in C++ and Windows API.
• Experience with real-time systems, video encoding, and data streaming.
• Understanding of computer vision pipelines and GPU acceleration.
• Familiarity with game data capture, input hooks, and event-driven programming.
• Competence in multithreading, synchronization, and resource management.
• Basic understanding of ML pipeline integration and data preprocessing.