- Develop and optimize AI models for perception, decision-making, and interaction in robotic systems.
- Implement computer vision, sensor fusion, and machine learning pipelines tailored for embedded environments.
- Collaborate with cross-functional teams to integrate AI features into the robotics software stack.
- Evaluate and tune AI models for performance, accuracy, and robustness in real-world conditions.
- 开发并优化用于机器人系统中感知、决策和交互的人工智能模型
- 实施为嵌入式环境量身定制的计算机视觉、传感器融合和机器学习管道
- 与跨职能团队协作,将人工智能功能集成到机器人软件栈中
- 在实际环境中评估并调整人工智能模型,以提升其性能、准确性和稳健性
- Implement and train deep learning models for speech, or sensor data.
- Optimize AI inference for embedded platforms (GPU, TPU, NPU).
- Create datasets, define evaluation metrics, and perform rigorous testing.
- Monitor and improve deployed AI modules through iterative updates.
- Integrate, depoy and test trained AI models on embedded systems
- 实施并训练用于语音或传感器数据的深度学习模型
- 针对嵌入式平台(图形处理器、张量处理器、神经网络处理器)优化人工智能推理
- 创建数据集,定义评估指标,并进行严格测试
- 通过迭代更新监控并改进已部署的人工智能模块
- 在嵌入式系统上集成、部署和测试已训练的人工智能模型
Technical:
专业技术技能:
- Strong experience in C++ and Python
- Knowledge of AI/ML frameworks (PyTorch, TensorFlow, ONNX…)
- Familiarity with model optimization for embedded systems (GPU, TPU, NPU…)
- Experience in data management & annotation (dataset creation, cleaning, labeling)
- 具备扎实的C++ 和 Python 使用经验
- 了解人工智能/ 机器学习框架(PyTorch、TensorFlow、ONNX 等)
- 熟悉针对嵌入式系统(图形处理器、张量处理器、神经网络处理器等)的模型优化
- 拥有数据管理和标注经验(数据集创建、清理、标记)
Education:
教育背景:
- Problem solving oriented thinking and delivery-focused execution
- Excellent communication skills across technical and non-technical audiences
- 具备以问题解决为导向的思维和注重交付的执行力
- 具备与技术和非技术受众良好沟通的能力
Languages :
语言能力:
- Professional proficiency in French and English
- 法语和英语达到专业熟练水平
Education:
教育背景:
- Master’s degree (Bac+5) in Computer Science, Robotics, AI, or related field.
- 计算机科学、机器人学、人工智能或相关领域的硕士学位(5 年制本科后教育)
Experience:
工作经验:
- 3 years in applied AI or ML, preferably in robotics or embedded systems.
- 3 年应用人工智能或机器学习经验,最好具备机器人或嵌入式系统领域经验
Base武汉;月薪:20~45k