- 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.
- 開發并優化用于機器人系統中感知、決策和交互的人工智能模型
- 實施為嵌入式環境量身定制的計算機視覺、傳感器融合和機器學習管道
- 與跨職能團隊協作,將人工智能功能集成到機器人軟件棧中
- 在實際環境中評估并調整人工智能模型,以提升其性能、準確性和穩健性
- 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
- 實施并訓練用于語音或傳感器數據的深度學習模型
- 針對嵌入式平臺(圖形處理器、張量處理器、神經網絡處理器)優化人工智能推理
- 創建數據集,定義評估指標,并進行嚴格測試
- 通過迭代更新監控并改進已部署的人工智能模塊
- 在嵌入式系統上集成、部署和測試已訓練的人工智能模型
Technical:
專業技術技能:
- 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)
- 具備扎實的C++ 和 Python 使用經驗
- 了解人工智能/ 機器學習框架(PyTorch、TensorFlow、ONNX 等)
- 熟悉針對嵌入式系統(圖形處理器、張量處理器、神經網絡處理器等)的模型優化
- 擁有數據管理和標注經驗(數據集創建、清理、標記)
Education:
教育背景:
- Problem solving oriented thinking and delivery-focused execution
- Excellent communication skills across technical and non-technical audiences
- 具備以問題解決為導向的思維和注重交付的執行力
- 具備與技術和非技術受眾良好溝通的能力
Languages :
語言能力:
- Professional proficiency in French and English
- 法語和英語達到專業熟練水平
Education:
教育背景:
- Master’s degree (Bac+5) in Computer Science, Robotics, AI, or related field.
- 計算機科學、機器人學、人工智能或相關領域的碩士學位(5 年制本科后教育)
Experience:
工作經驗:
- 3 years in applied AI or ML, preferably in robotics or embedded systems.
- 3 年應用人工智能或機器學習經驗,最好具備機器人或嵌入式系統領域經驗
Base武漢;月薪:20~45k