What to expect? Design and develop AI Model, including create, train, and optimize AI/ML models to address specific testing challenges such as automatic scenario generation, and AI-powered test automation frameworks Build AI-Powered testing applications: Develop end-to-end
What to expect? Assist the R&D team in the design, development and optimization of robot hardware and software, including but not limited to robot control systems, motion planning, perception algorithms, and mechanical structure design. Maintain and
NVIDIA Developer Tools team is seeking a Senior Software Development Tech Lead to join our team in Shanghai. The team develops tools and services used by software developers worldwide. Our SDK Manager application enables software developers
智能辅助驾驶端到端算法工程师上海实习数字技术 - 算法职位 ID：A74060职位描述职位描述1. 参与智能辅助驾驶端到端大模型的研发与量产落地，探索智能辅助驾驶场景下的 scaling law ，以及数据、模型与算力之间的关系。2. 参与前沿端到端算法的研究、复现与迭代，包括模型结构、训练策略、数据构建与评测体系等方向3. 参与大规模模型训练系统的建设与优化，包括训练 infra、数据加载、训练效率优化等核心模块。4. 与算法、系统、数据团队协作，推动模型在真实业务场景中的持续演进。5. 鼓励提出新的研究方向、工程方案与实验想法，并快速完成验证与迭代闭环。职位要求职位要求1. 硕士及以上学历，计算机、人工智能、自动化等相关专业。2. 扎实的深度学习基础，熟悉 PyTorch，并具备实际模型训练经验。3. 对大模型、端到端智能辅助驾驶、scaling law 或前沿算法方向有强烈兴趣。4. 面对未知问题具备很强的自驱力与学习能力，能够快速拆解问题并独立推进。5. 有良好的工程能力与代码习惯，对工程质量与实验效率有追求。6. 具备良好的沟通与团队协作能力。加分项1. 有较强的动手能力与 experimentation mindset，喜欢快速验证想法。2. 熟悉 AI Coding Assistant / Vibe Coding 等新型研发工作流者加分。3. 有大模型训练、训练 infra、分布式训练或性能优化经验。4. 使用过 Torch Profiler 等性能分析工具。5.
NVIDIA has been transforming accelerated computing with innovation that’s fueled by great technology—and amazing people. As part of Nvidias applied AI team for chip design, you will have the opportunity to tap into the unlimited potential