Worth applyingNetflix · Los Gatos,California,United States of America

Video Algorithms Intern, Video Coding (Gaussian Splatting), Fall 2026

Skills and tasks

Suggested skills

  • Custom CUDA Kernel Optimization for Gaussian Rasterization
  • Neural Video Compression & Rate-Distortion Theory
  • Perceptual Quality Metrics for 3D Novel-View Synthesis

Skill-to-task connections are not available yet.

Tasks from the posting

  • Explore GS model compression strategies

    You + AI

  • Characterize trade-offs among GS model size

    You + AI

  • Identify strategies to reduce training time

    Your edge

  • Design and implement a proof-of-concept

    You + AI

  • Contribute to dataset needs for scenes

    Your edge

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More analysis and source details
30%
of this job is already automatable.
70% is classified as human or shared work.
0 AI does it3 You + AI2 Your edgeof 5 duties

Your edge · 3 things

  • Formulating original algorithmic approaches to compress 3D Gaussian representations.
  • Evaluating visual perceptual quality artifacts that standard automated metrics miss.
  • Architecting end-to-end proof-of-concept renderers for consumer playback hardware.
The fieldgrowing · 10+ years

Demand for spatial computing and 3D/4D photorealistic rendering is accelerating across hardware vendors and streaming platforms. Efficient compression of novel-view synthesis models is essential for bandwidth-constrained consumer playback.

Do this week

  1. Custom CUDA Kernel Optimization for Gaussian RasterizationDirect GPU programming expertise significantly increases your market value and research output speed in neural graphics.
  2. Neural Video Compression & Rate-Distortion TheoryCombining traditional video coding principles with 3D computer vision makes you uniquely qualified for senior streaming algorithm roles.
  3. GitHub CopilotWriting PyTorch model wrappers and evaluation boilerplate for Gaussian Splatting

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