Lead Software Engineer

il y a 1 semaine


Lille, Hauts-de-France Razer Temps plein

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities :

Leads backend and low-level software engineering for the Razer AI event detection pipeline. Designs and implements the C++ core systems enabling deterministic game event capture, multimodal model integration, and SDK deployment. Builds scalable architecture for the CV/audio processing pipeline, dataset ingestion, and model training automation. Maintains technical coherence across all deliverables. Guides code standards, review processes, and system performance optimization. Directly oversees infrastructure scalability for training and deploying models across 3000+ games. Acts as principal technical authority on software design and implementation.

  • Lead software design for deterministic in-game event detection, video capture, and SDK integration.
  • Build and maintain computer vision and audio processing pipelines.
  • Develop infrastructure for dataset ingestion and multimodal model training.
  • Supervise C++ development practices and enforce performance standards.
  • Coordinate scaling architecture for training and deployment of 3000+ game models.
  • Drive optimization, maintainability, and extensibility of the entire software stack.

Competencies:

  • Expert-level technical direction and architectural judgment.
  • System performance optimization and scalability management.
  • Mentorship and code governance within an engineering team.
  • Deep understanding of data pipeline orchestration and AI integration.
Pre-Requisites :
  • Expert in modern C++ (C++17 or later), multithreading, and performance tuning.
  • Proficiency in low-latency system design and GPU-based computation.
  • Strong background in computer vision, ML model integration, or data pipelines.
  • Experience in SDK/API development for third-party integration.
  • Familiarity with Windows gaming environments and capture APIs.
  • Experience with CI/CD pipelines and software reliability engineering.

Are you game?



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