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Job responsibilities: 1. Conduct deep analysis of current AI models, including performance evaluation, limitations, and potential areas for improvement. 2. Research, reproduce, and benchmark state-of-the-art technologies, and proactively introduce new methodologies to enhance model capabilities. 3. Develop simulation environments and training pipelines tailored for autonomous agents, enabling scalable and realistic testing scenarios. 4. Deploy models on target hardware platforms such as J6M, TC387, Orin, etc., and perform runtime optimization to ensure efficient and reliable performance. 5. Collaborate closely with internal and external stakeholders to drive continuous improvement and achieve better system performance Job requirements: 1. Solid understanding of deep learning, reinforcement learning, and large language models (LLMs) 2. Hands-on experience with leading AI frameworks such as PyTorch and TensorFlow 3. Proven ability to independently read, interpret, and reproduce academic research papers 4. Strong programming skills in Python; familiarity with C is a plus 5. Genuine passion for autonomous driving technologies and AI research 6. Excellent communication skills and a strong ability to thrive in collaborative team environments 7. Prior experience with Git, Linux, and cloud computing platforms (e.g., AWS, Azure, GCP) is a valuable asset