Principal AI Software Engineer (Multimodal Systems, Gaming)

Razer
Paris, France
18 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence ARM Architecture Computer Vision Audio Signal Processing C++ (Programming Language) Data Cleansing Software Debugging Event-Driven Programming Game Engine Windows API Performance Tuning
+8 more
Data Streaming Video Encoding Multithreading Real Time Systems Reliability of Systems Enterprise Integration Feature Extraction Software Version Control

Job 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

Requirements

  • 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

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