Principal AI Software Engineer (Multimodal Systems, Gaming)
Posted Updated
Description
- 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
- 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
- Understanding of computer vision pipelines and GPU acceleration
- Basic understanding of ML pipeline integration and data preprocessing
- Strong proficiency in C++ and Windows API
- Familiarity with game data capture, input hooks, and event-driven programming
- Experience with real-time systems, video encoding, and data streaming
- Competence in multithreading, synchronization, and resource management