数据算法工程师(数据合成与仿真方向)_XC
Location: Shanghai, Shanghai, cn
Company Description
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.
Job Description
岗位概述
打造面向自动驾驶的下一代数据与仿真引擎,探索生成式 AI 在虚拟场景构建与仿真视频生成中的落地应用。 参与从 视频生成模型到仿真场景自动生成与控制 的完整链路研发,推动生成式算法真正服务于现实世界的算法训练与验证。
岗位职责
- 设计与实现基于 生成式模型 的视频生成算法;
- 研究 时序一致性、物理约束性 的生成机制,确保生成视频在仿真中的可用性;
- 构建从 prompt / layout 到 scene / video 的语义驱动生成工具链;
- 推动数据合成模型与 仿真引擎(Unreal Engine / Omniverse / Isaac Sim) 深度集成,实现闭环数据生产;
- 优化推理与训练效率,提升模型的部署与大规模生产能力;
- 与感知、规划、仿真团队协作,将生成式仿真数据用于算法验证与性能评估。
Qualifications
- 硕士及以上学历,计算机科学、人工智能、电子信息等相关专业;
- 熟悉 PyTorch / TensorFlow 等主流深度学习框架;
- 具备 视频生成、世界模型(World Model)、或多模态生成 相关经验;
- 理解 Diffusion、Transformer、Latent Space Representation 等主流生成范式;
- 扎实的数学功底(线性代数、概率统计、优化理论);
- 较强的工程能力,能将研究成果转化为可落地方案。
加分项:
- 熟悉 NVIDIA COSMOS、Sora、Genie、VideoComposer、DreamGaussian 等模型框架;
- 有 仿真系统 / 自动驾驶数据 / Unreal Engine / Omniverse 等经验;
- 参与过开源项目或发表过 CVPR / ICCV / NeurIPS / ICLR 等会议论文;
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