Meta AR/VR Job | Research Scientist Intern,Split Rendering,Streaming Geometry,Rendering Algo(PhD)

Job(岗位): Research Scientist Intern,Split Rendering,Streaming Geometry,Rendering Algo(PhD)

Type(岗位类型): 3D Software Engineering | Research

Citys(岗位城市): Redmond, WA

Date(发布日期): 2022-12-6

Summary(岗位介绍)

The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today.

The focus of our team is on computer graphics with primary research on the efficient synthesis of high-quality images for AR/VR systems. Our current research areas include custom graphics hardware, rendering algorithms for AR/VR, such as ray casting and machine learning based image synthesis, and differentiable & inverse rendering.

For this internship, we are looking for Ph.D. students to investigate various core research problems for physics-based differentiable rendering and inverse rendering, aiming to improve the quality & performance of real object/lighting/scene reconstruction & digitization and enable various high-quality novel AR/VR experiences based on it.

Meta Reality Labs offers internships ranging from twelve (12) to sixteen (16), or twenty-four (24) week periods. We encourage submitting papers to high-ranked computer graphics conferences and journals based on the results of the internship.

Qualifications(岗位要求)

In the process of obtaining a PhD degree or higher in Computer Science or related field.

3+ years of experience in C/C++ or python programming.

Knowledge of real-time or offline rendering.

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Description(岗位职责)

Accelerate development of one or more graphics-related research projects.

Conceive and develop novel rendering solutions from idea to prototypes.

Implement proof-of-concept technical prototypes and systems that re-define the state-of-the-art visual experiences in virtual and augmented reality.

Develop highly optimized real-time solutions with GPU rendering, ray tracing, and compute.

Learn constantly, educate others, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving.

Collaborate with cross-disciplinary research and engineering teams.

Additional Requirements(额外要求)

Graphics experience with good understanding of key rendering concepts, such as lighting and shading, PBR materials, ray tracing, differentiable rendering, or related work.

Deep understanding and hands-on experiences in one or more of the following: GPU design/optimization, real-time ray tracing or rasterization solutions, physics-based real-time or offline rendering, physically based materials and lighting, differentiable/inverse rendering.

Experience with various types of 3D geometry like polygons, curves, subdivision surfaces, displacement mapping, and signed distance fields.

Experience with geometry compression.

Experience with displacement mapping.

Experience with remote and/or split rendering algorithms.

Experience with real-time game engine development.

Experience in research or advanced development.

Experience with at least one popular deep learning framework (e.g., PyTorch, Caffe2, TensorFlow, or Keras).

Experience with incubating new technologies and guiding them through tech transfer.

Demonstrated software engineering experience within a complex codebase via an internship, work experience, coding competitions, or widely used contributions to open source repositories such as GitHub.

Experience in first-authored publications at leading computer graphics/vision conferences and/or journals, such as SIGGRAPH/SIGGRAPH Asia/TOG, High Performance Graphics (HPG), ACM SIGGRAPH Symposium on Interactive 3D and Graphics (I3D), Eurographics Symposium on Rendering (EGSR), CVPR/ICCV/ECCV, NeurIPS, etc.

Post-graduate degree, in Computer Science/Engineering, Physics, Electrical Engineering or equivalent.

Intent to return to a degree-program after the completion of the internship/co-op.

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