Job Responsibilities:

- Responsible for research and development of embodied intelligence-related models, such as large language models, vision-language models, and agent models.
- Conduct research on robotic algorithms including reinforcement learning, imitation learning, and meta-learning.
- Develop algorithms for robotic object manipulation, mobile grasping, mobile navigation, and 3D object or scene modeling in virtual/real environments, and achieve deployment testing for sim-to-real scenarios.

Job Requirements:

- Bachelor's, Master's, or higher degree in Electronic and Information Systems, Computer Science, Communications, Automatic Control, or related fields.
- Solid foundation in computer science and software engineering, with clear thinking, strong logic, and clean coding practices; proficient in C/C++ and Python; familiar with deep learning frameworks like PyTorch.
- Experience with Linux, Docker, or ROS; experience with robotic virtual environments (e.g., HomeRobot, BEHAVIOR-1K, IsaacSim) is a plus.
- Extensive experience in model training and debugging in fields like deep learning, computer vision, and NLP; familiarity with the latest Transformer, diffusion, and related model architectures.
- Self-motivated, willing to challenge oneself, and committed to continuous learning and personal growth; aspiring to become a technical leader (promotion opportunities and competitive salary will be provided).

Job Responsibilities:

Develop and implement software solutions for robotic systems. You will contribute to building systems that encompass navigation, planning and control, SLAM, manipulation, and/or perception. Proficiency in both general-purpose and specialized robotics applications is required.
- Work closely with AI engineers to integrate state-of-the-art AI models into our robots.
- Design, implement, and test software to ensure outstanding performance in navigation, planning and control, SLAM, perception, manipulation, and/or advanced behaviors.
- Write and maintain production-grade C++ and Python code for robotic platforms.
- Collaborate with deployment and testing engineers to ensure stable deployment and monitoring of robotic solutions across different sites, achieving excellent performance and high reliability.
- Continuously improve and optimize the performance, reliability, and scalability of robotic software.

Job Requirements:

- Bachelor's, Master's, or higher degree in Computer Science, Robotics, Engineering, or a related field, or equivalent practical experience.
- Proficiency in C++ or Python programming languages.
- Experience in developing and deploying software on real robots using NVIDIA development boards such as Orin or similar ARM architecture-based boards.
- In-depth system-level understanding of various software modules and interfaces in robotics applications, with solid technical experience in at least one of the following areas: navigation, motion planning and control, SLAM, perception/computer vision, or manipulation.
- Experience in ROS development.
- Solid understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
- Familiarity with integrating and deploying machine learning models in robotic systems.
- Understanding of communication mechanisms such as socket and CAN, with relevant development experience.
- Basic familiarity with or experience using Docker.
- Proficiency with open-source project platforms such as GitHub or Gitee, with the ability to deploy and run open-source projects.

Job Responsibilities:

- Conduct research on embodied intelligence-related models, including large language models, vision-language models, and agent models.
- Develop algorithms in reinforcement learning, imitation learning, meta-learning, self-supervised learning, and brain-inspired navigation.
- Track the latest advancements in embodied intelligence, apply algorithms, and study cutting-edge research papers.

Job Requirements:

- Enrolled in relevant programs such as Computer Science, Data Science, Communication Engineering, Automation, or Neuroscience/Brain Science, with solid programming skills and some experience with deep learning models.
- Familiarity with Linux, Docker, and deep learning frameworks like PyTorch. Preference will be given to candidates with experience in courses or research projects related to computer vision, deep learning, and artificial intelligence.
- Passionate about computer vision, robotics, embodied intelligence, and related research, with a strong interest in conducting innovative studies.

What the Project Team Offers:

- Opportunities to publish in top-tier conferences, including but not limited to CVPR, ICCV, ECCV, NeurIPS, and ICLR.
- Comprehensive research training and a broad academic perspective.
- International collaboration and personal development, with recommendations for internships, exchange visits, or advanced degree applications at leading domestic and international research institutions in computer vision and deep learning.
- Access to rich computational resources, including extensive A100 GPU resources and multiple robotic hardware platforms.
- Scholarships or compensation incentives for outstanding students.