Senior Real-Time Multimodal AI Engineer for Gaming

Razer; Paris; On-site; EUR 70,000 - 100,000; Full time

Job summary

Razer in Paris is seeking an elite C++ engineer to advance high-performance real-time systems for data acquisition, event tracking, and video generation within our AI ecosystem.

You will develop tooling for video dataset expansion, clip triggering logic, and integration with Cortex APIs and SDKs, optimize multithreaded pipelines, ensure reliability across supported games, and collaborate with CV/ML teams on video processing.

Qualifications

• Strong proficiency in C++ and Windows API.
• Understanding of computer vision pipelines and GPU acceleration.
• 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.
• Understanding of ML pipelines integration and data preprocessing.

Responsibilities

• 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 features.
• Ensures code reliability, maintainability, and compatibility across supported games.
• Participates in performance optimization and scaling of the multimodal model pipeline.

Skills

C++

Windows API

GPU acceleration

CV pipelines

Real-time systems

Multithreading

Tools

APIs

SDKs

Game engines

Job description

Razer in Paris is seeking an elite C++ engineer to advance high-performance real-time systems for data acquisition, event tracking, and video generation within our AI ecosystem.

You will develop tooling for video dataset expansion, clip triggering logic, and integration with Cortex APIs and SDKs, optimize multithreaded pipelines, ensure reliability across supported games, and collaborate with CV/ML teams on video processing.