Researcher - Graphic Rendering

Huawei Canada has an immediate 12-month contract opening for a Researcher.

About the team:

The Software-Hardware System Optimization Lab continuously improves the power efficiency and performance of smartphone products through software-hardware systems optimization and architecture innovation. We keep tracking the trends of cutting-edge technologies, building the competitive strength of mobile AI, graphics, multimedia, and software architecture for mobile phone products.

About the job:

• Research in the newest graphics and rendering algorithms and trends like 3DGS and Neural Rendering.

• Deep insight into the developments and trends of rendering technologies, shaders, and recent research in the field.

• Consider algorithm and pipeline optimizations for mobile platform and chipsets.

• Build prototype and profile for the various graphics topics across different devices and platforms like PC and mobile phone.

• Closely work with internal R&D divisions.

The target annual compensation (based on 2080 hours per year) ranges from $78,000 to $168,000 depending on education, experience and demonstrated expertise.

Requirements

About the ideal candidate:

• Masters or PhD degree in Computer Science, Electronics Engineering or related field.

• Work or research experience in CG/CV field, experiences working with of real-time rendering and features is an asset.

• Knowledge of neural rendering or 3DGS related fields.

• Experience with some of the following APIs: Vulkan, OpenGL, DirectX.

• Familiarity with the graphics pipeline and various graphics topics such as ray tracing, PBR/BRDF, global illumination, etc.

• Experience with existing game engines such as UE, Unity or others is an asset.

• Excellent communication and documentation skills.

Additional Information:

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.