Principal AI Software Engineer, Multimodal Systems (Gaming)

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 :

• Design and implement data acquisition and clip-triggering logic for deterministic WYVRN events.
• Develop automation tools to support video dataset collection, processing, and labeling.
• Contribute to the development and optimization of video decluttering and Automontage pipelines.
• Collaborate on the integration of computer vision and audio processing capabilities.
• Optimize runtime components for Cortex and SDK deployment, with a focus on performance and reliability.
• Ensure compatibility, scalability, and consistent performance across an expanding range of game libraries.

Competencies

• Strong software development skills, with the ability to work efficiently at a low level.
• Experience building reliable, maintainable, and performance-optimized systems under load.
• Ability to integrate and work with APIs, SDKs, and game engines.
• Strong approach to code management, troubleshooting, and pipeline debugging.

Pre-Requisites :

Required Requirements

• Strong proficiency in C++ and Windows API development.
• Solid understanding of multithreading, synchronization, and resource management.
• Experience developing reliable and performance-optimized software for real-time or high-performance environments.
• Familiarity with API and SDK integration and event-driven programming.

Preferred Requirements

• Experience with real-time systems, video encoding, and data streaming.
• Understanding of computer vision pipelines and GPU acceleration.
• Experience with game data capture, input hooks, and game engine integration.
• Familiarity with ML pipeline integration and data preprocessing.
• Experience troubleshooting and optimizing performance across complex software pipelines.

Salary Ranges:

Disclaimer: Exact compensation may vary based on skills, experience, and location.

Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.

Are you game?