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:
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Conduct research on GPU-accelerated rendering techniques, including real-time
ray tracing, rasterization, and hybrid methods.
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Investigate AI-driven rendering approaches such as neural radiance fields
(NeRF), GAN-based synthesis, denoising, and super-resolution.
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Prototype and evaluate new algorithms that leverage GPU architectures for
enhanced visual fidelity and performance.
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Explore the integration of AI models into rendering workflows, including
differentiable rendering and learned shading.
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Publish findings in top-tier conferences and journals (e.g., SIGGRAPH, CVPR,
NeurIPS).
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Collaborate with cross-functional teams to validate research in real-world
applications and contribute to long-term innovation roadmaps.
About the ideal candidate:
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Master’s degree required, Ph.D. is an asset. Preferred in Computer Graphics,
Computer Science, Electrical Engineering, or a related field.
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Strong understanding of GPU architectures and graphics APIs (e.g., Vulkan,
Metal, DirectX, CUDA).
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Experience with AI frameworks (e.g., PyTorch, TensorFlow) and their
application in visual computing.
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Solid foundation in rendering algorithms, image synthesis, and performance
optimization.
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Demonstrated ability to conduct independent research and communicate results
effectively.
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Prior publications or research contributions in graphics, AI rendering, or
visual computing.
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Experience with rendering engines (e.g., Unity, Unreal, Blender) or custom
GPU pipelines.
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Familiarity with neural graphics primitives and differentiable rendering
frameworks.
