小鹏汽车Research Intern (World Model)
任职要求
职位要求 1、计算机、电子工程、人工智能等相关领域本科及以上学历在读； 2、具有扎实的机器学习算法基础，熟悉世界模型/多模态生成等方向前沿方法； 3、熟练使用PyTorch/TensorFlow等深度学习框架，具备良好的代码实现能力； 4、具有良好的团队合作能力和沟通能力。 加分项 1、计算机、电子工程、人工智能、机器人等相关领域博士学历； 2、有多模态、大模型、机器人相关研究和项…
工作职责
1、构建行业领先的世界模型，为具身场景提供生成式仿真能力。强化世界模型的长程时空记忆，物理属性模拟能力，实现可泛化、可落地、可scaling的世界模型，形成持续的技术影响力并引领国际行业发展。
我们致力于构建下一代 空间智能（Spatial Intelligence）系统，让AI不仅能“看懂世界”，更能理解空间结构、推理物体关系、规划行动轨迹，并在虚拟或真实环境中持续学习与演化。 你将与团队一起： 研发具备空间理解、物体感知、轨迹预测与交互规划能力的智能体模型； 构建融合 视觉语言模型（VLM）与世界模型（World Model） 的系统，实现3D场景、深度、物理与可供性（Affordance）的联合建模； 使用 Game Engine（Unreal / Unity / Isaac Sim） 搭建高保真虚拟环境，用于数据生成与智能体评测； 基于 vLLM / Ray 构建高效多模态数据管线，实现大规模生成、自动标注与验证； 推动空间智能在机器人与具身智能领域的应用落地。
• Work on research, design and implementation of software features that are beneficial to our customers to meet their performance targets and build unique values• World model and nvidia cosmos related development and bug fixes• Develop solutions for DNN models acceleration optimization and deployment.
Translate insights from AI research, academic papers, and industry updates into working prototypes and real-world applications. Design, build, and iterate on AI-powered applications, integrating APIs, vector databases, and agent frameworks. Develop and maintain evaluation datasets, define success metrics, and run systematic tests to guide iteration and improvement. Document experiments and prototypes clearly to ensure reproducibility and support team learning.
The NVIDIA Isaac Loco-Manipulation team is seeking exceptional machine learning Interns to join our world-class robotics initiatives. As an intern, you’ll work alongside industry-leading experts, gaining hands-on experience and contributing to the future of humanoid loco-manipulation. We’re looking for strategic, ambitious, and creative individuals who are passionate about pushing the boundaries of robotics. What You’ll Be Doing: • Collaborate with researchers and engineers to define and execute projects focused on humanoid loco-manipulation and mobile manipulation. • Contribute to GR00T and Cosmos foundation models. • Support the development of reference workflows in Isaac Lab and Newton. • Advance technologies for robot learning and synthetic data generation using human video datasets. • Design, implement, and deploy novel algorithms for humanoid robot locomotion and manipulation in both simulated and real-world environments. • Integrate your work with NVIDIA’s advanced robotics platforms. • Transfer your innovations into products, with deliverables including prototypes, patents, and/or publications in top conferences and journals.