Job Description

Description

This position requires a highly motivated individual who wants to join us in the fast-growing field of differentiable rendering. You will be responsible for developing, implementing, evaluating, and improving algorithms that model complex optical effects while enhancing the photorealism and representative power of 3D scenes.

Minimum Qualifications

Must be enrolled in a PhD or Masters program in Computer Science, Computer Vision, Computer Graphics, Machine Learning or equivalent.
Strong understanding of neural rendering and reconstruction algorithms such as 3D Gaussian Splatting and other state-of-the-art methods.
Solid foundation in rendering techniques for modeling optical effects, grounded in rasterization and ray-tracing.
Fluency in Python. Experience implementing custom CUDA or Metal kernels is a plus.
Experience with PyTorch, including knowledge of back-propagation and autograd mechanics.
Excellent communication and collaboration skills.
Demonstrable problem solving and analytical thinking abilities.

Preferred Qualifications

Availability for 6 months minimum is preferred.
Fluency in English is required.
Publication record at top conferences such as CVPR/ECCV/ICCV/SIGGRAPH/NeurIPS is a plus.
Industry experience is a plus.

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Job Description

Description

Minimum Qualifications

Key Qualifications

Preferred Qualifications

Education & Experience

Additional Requirements

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