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 :Designs and implements AI components for in-game event recognition, multimodal learning, and model optimization. Develops CV and audio processing pipelines for automated dataset generation and labeling. Collaborates on training workflows for the top 100, 500, and 3000 games. Builds the video decluttering pipeline to filter irrelevant gameplay segments. Works closely with the Lead Engineer on model deployment optimization and SDK integration. Implements and maintains C++ modules for data acquisition, inference, and model serving. Focused on performance tuning and inference latency reduction for on-device intelligence.Mission:
Develop and optimize AI components for multimodal in-game event recognition, video dataset generation, and model deployment.
- Build AI modules for CV/audio-based in-game event detection.
- Implement data preprocessing and feature extraction pipelines.
- Train, validate, and deploy models across top 100–3000 games.
- Design video decluttering pipeline for gameplay quality refinement.
- Collaborate with SDK developers for on-device inference optimization.
- Ensure low-latency, high-accuracy inference performance.
Competencies:
- Applied AI engineering and model lifecycle understanding.
- Multimodal data processing (video, audio, metadata).
- Rigorous analytical and debugging skills in performance-critical contexts.
- Systematic approach to scalability, reproducibility, and deployment.
- Proficient in C++ for high-performance implementation.
- Solid understanding of ML fundamentals (CNNs, transformers, multimodal fusion).
- Experience with OpenCV, PyTorch, or TensorFlow for model integration.
- Background in computer vision or audio event classification.
- Familiarity with dataset management, labeling, and augmentation techniques.
- Experience with real-time inference and model compression for deployment.
Are you game?
Top Skills
What We Do
Razer™ is the world’s leading lifestyle brand for gamers.
The triple-headed snake trademark of Razer is one of the most recognized logos in the global gaming and esports communities.
With a fan base that spans every continent, the company has designed and built the world’s largest gamer-focused ecosystem of hardware, software and services.
Razer’s award-winning hardware includes high-performance gaming peripherals and Blade gaming laptops. Razer’s software platform, with over 70 million users, includes Razer Synapse (an Internet of Things platform), Razer Chroma™ (a proprietary RGB lighting technology system), and Razer Cortex (a game optimizer and launcher).
In services, Razer Gold is one of the world’s largest virtual credit services for gamers, and Razer Fintech is one of the largest online-to-offline digital payment networks in SE Asia.
Founded in 2005 and dual-headquartered in Irvine and Singapore, Razer has 18 offices worldwide and is recognized as the leading brand for gamers in the USA, Europe and China. Razer is listed on the Hong Kong Stock Exchange (Stock Code: 1337).
