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Open nowPosted 44 days ago

4DGS算法研发工程师（实习）

kwh0jtf778/07318368 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now4DGS算法研发工程师（实习）kwh0jtf778/073183 · Shanghai, Chinese Mainland

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12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 44 days ago

The posting

1. 参与与 3D/4DGS，FFGS（前馈式高斯重建）相关算法的工程落地，包括训练流程搭建、数据预处理、评测与对比实验 2. 参与高斯渲染器的开发与优化，聚焦 CUDA 算子、光栅化、排序、显存与吞吐等热点路径的性能加速 3. 协助完成算法原型到可复现实验的转化：配置管理、Benchmark、消融实验、结果可视化与文档整理 4. 跟踪 3DGS / 4DGS 前沿进展，阅读论文并实现关键模块，与算法同学协作完成 idea 验证与迭代 5. 参与渲染管线调试与数值对齐，定位训练/推理中的性能瓶颈与正确性问题

1. 计算机、软件工程、图形学、自动化等相关专业，本科大三及以上或硕士在读；能保证每周至少 4 天、连续实习 3 个月以上 2. 理解 3D Gaussian Splatting 基本原理（高斯表示、可微光栅化、训练致密化等）；对 FFGS、4DGS 至少一个方向有实际项目或论文复现经验 3. 熟练使用 Python，能独立跑通训练与评测；熟悉 PyTorch；有 C++/CUDA 基础或渲染相关开发经验者优先 4. 有渲染器优化/加速经验者优先，例如：自定义 CUDA kernel、算子融合、显存优化、推理加速，或与 gsplat / diff-gaussian-rasterization 等渲染库的深度使用/改造 5. 能阅读英文论文并复现核心方法；有清晰的实验记录习惯；沟通主动，能按时交付阶段性成果 6. 加分项：在 3DGS、NeRF、神经渲染相关方向有开源贡献、竞赛获奖或发表论文 7. 加分项：熟悉多视图几何、相机模型、点云处理，或有自动驾驶、三维重建业务场景经验 8. 加分项：同时接触过静态 3DGS（FFGS）与动态 4DGS 两条链路，能做横向对比与迁移

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