Neural Rendering Researcher

Qualcomm AI Research is looking for world-class researchers in deep learning, to join a high-caliber team of engineers inventing machine learning technology to provide best-in-class solutions while running with the most efficient use of power, memory, and computation. Members of our team are part of a multi-disciplinary core research group within Qualcomm which spans software, hardware, and systems, and our members may simultaneously contribute to technology deployed worldwide by partnering with our industry-leading businesses across mobile, compute, automotive, cloud, and IOT.

The R&D work responsibility for this position focuses on the following

• Deep learning research on real-time rendering and neural reconstruction (e.g. neural radiance fields, super-resolution for gaming, neural denoising of ray-traced images…)
• Identify, study, and reproduce the state-of-the-art
• Innovate, create demos, and publish at top-tier conferences

Ideal candidates will demonstrate the following:

• Master’s degree in Computer Science, Engineering, Information Systems, or related field.
• Solid foundation in deep learning
• Extensive experience in modeling, implementing, and training neural networks in high-level languages and frameworks like PyTorch or TensorFlow

Other desirable skills:

• Ability to drive early-stage research
• Experience with NeRFs or similar models
• Experience with super-resolution models
• Track record of research excellence and high-quality publications (e.g. SIGGRAPH, ICLR, NeurIPS, CVPR, ICML, ICCV, etc.)
• PhD in Computer Science, Engineering, or related field