Lead Multimodal AI Engineer for Real-Time Gaming

Razer; Lille; Sur place; EUR 70 000 - 95 000; Plein temps

Résumé du poste

Razer in Lille, France is seeking a high‑performance C++ software engineer to help build data acquisition, real‑time event tracking, and gameplay video generation. You will develop tooling for dataset expansion, clip triggering, and integration with Cortex APIs, contributing to CV/ML pipelines and engine‑level optimizations across multiple games.

You will optimize runtime components for Cortex and SDK deployment, collaborate with cross‑functional teams, and help maintain compatibility and

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

C++

Windows API

Real-time systems

Video encoding

Data streaming

Computer vision

Multithreading

ML pipeline integration

Event-driven programming

GPU acceleration

Outils

Razer Cortex APIs

Description du poste

Razer in Lille, France is seeking a high‑performance C++ software engineer to help build data acquisition, real‑time event tracking, and gameplay video generation. You will develop tooling for dataset expansion, clip triggering, and integration with Cortex APIs, contributing to CV/ML pipelines and engine‑level optimizations across multiple games.

You will optimize runtime components for Cortex and SDK deployment, collaborate with cross‑functional teams, and help maintain compatibility and