【Minimum Qualifications】
1. Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related field.
2. Experience in developing, validating, or deploying generative AI applications, particularly in smart factory and robotics control domains.
3. Strong problem analysis and solving skills, with the ability to identify issues in systems, models, or workflows and implement effective solutions.
4. Strong teamwork and communication skills, with the ability to collaborate across teams to drive AI application implementation.
5. Ability to research, evaluate, and implement cutting-edge AI technologies, including but not limited to large language models (LLM), reinforcement learning (RL), AI Agents, and Sim2Real methods.
【Preferred Qualifications】
1. Experience in deploying AI applications in cloud environments (GCP, Azure) and working with containerized technologies (Docker)
2. Experience in developing agentic AI solutions using LangChain, LangGraph, or similar frameworks.
3. Experience in DevOps and AI validation, including automated testing, CI/CD, and model lifecycle management.
4. Familiarity with NVIDIA AI acceleration and optimization technologies, such as TensorRT-LLM, Dynamo, Triton Inference Server, etc.
5. Experience with CUDA acceleration.
6. Experience in deploying AI applications in smart factory or robotics environments, and familiarity with simulation platforms and control systems (e.g., NVIDIA Isaac Lab / Isaac Sim).
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1.Programming: Python, C＋＋
2.OS & Environment: Linux
3.Version Control: Git
4.Containerization & Environment Management: Docker, conda, etc
5.Generative AI Tools: LangChain, LangGraph, or similar frameworks.
6.Deep Learning Frameworks:PyTorch