- Lead the design of computer vision algorithms for humanoid robots, covering model architecture, training, deployment, and fine-tuning.
- Manage data organization, analysis, and mining for relevant business areas to enhance model accuracy and generalization.

- Develop core machine learning systems for embodied AI.
- Develop VLA training and reasoning systems for robotics scenarios.
- Support the continuous evolution of multi-modal perception, motion control, and task planning systems.
- Develop toolchains for embodied AI systems, covering the full lifecycle of data collection, simulation training, physical deployment, and continuous optimization.

- Build a machine learning platform tailored for embodied AI, supporting the training and evaluation of VLA models.
- Develop an intelligent data factory platform to manage the full lifecycle of data collection task dispatch, personnel/equipment scheduling, data annotation, and quality monitoring.
- Design a cross-cloud, edge, and device computing architecture to ensure high performance and reliability in complex scenarios.
- Optimize data storage and processing workflows, establishing a positive feedback loop between data quality and model performance.
- Collaborate with robotics and algorithm teams to drive the transition of embodied AI from theoretical research to practical applications.

- Develop and optimize the engineering implementation of VLA.
- Design and implement post-processing fusion algorithms for embodied VLA models, integrating information from cameras, motors, and other sensors to detect abnormal conditions and ensure stable system operation.
- Participate in the architectural design of embodied intelligence fusion algorithms and resolve key technical issues.
- Deploy and debug relevant algorithms on actual devices, and promote business application implementation.
5. Continuously optimize and iterate the implementation and performance of embodied intelligence algorithms.

- Responsible for the overall design of the robot and base, lead the development and verification of core technologies, and complete tasks such as dimensioning and verification of key components, overall layout, and module division.
- Responsible for standardizing the work of the mechanical team, enhancing skills, and conducting technical pre-research. Lead the resolution of key technical issues and promote summarization and repeated application of team experience and technology.
- Responsible for improving the quality, cost, and schedule of product sections, and promoting the improvement of product testability and manufacturability.
- Responsible for completing detailed 3D and 2D drawing designs, lead the organization of scheme and drawing reviews, and ensure the product's performance and good production process.
- Responsible for the structural research, design, and innovation of new technology projects, and ensure the innovation and leading position of technology.

- Design, development, and delivery of humanoid robot hardware systems.
- Design of hardware solutions for robot perception systems, selection and introduction of key components, including but not limited to cameras, LiDARs, IMUs, etc.
- Delivery of hardware platform and project-related deliverables: plans, designs, hardware architecture, network topology, wiring layout, electrical energy management, etc.
- Review of hardware and electrical technical solutions, pre-estimation of technical difficulties and risk identification in system solutions, inter-departmental cooperation and technical support.
- Competitive research on humanoid robot hardware and electrical aspects, and mid-to-long-term technical planning.

- Research and implementation of algorithms related to path generation and trajectory planning of humanoid robot arms, modeling identification and compensation, dynamics and control.
- Proactively identify positioning issues and propose technical solutions, and suggest improvements for collaborative design between the robot's mechanical structure and algorithms based on its motion characteristics.
- Participate in the construction and simulation of robot kinematic and dynamic models, and establish relevant standards for robot motion performance.
- Participate in the development of one or more cutting-edge technologies, including but not limited to planning and control in the fields of robot posture, multi-arm collaboration, and structural reconfiguration; conduct in-depth review and summarization of technical literature in these fields.

- Responsible for the development of autonomous navigation functions for wheeled humanoid robots, including the implementation of algorithms for path planning, obstacle avoidance, and escape from entrapment.
- Design an efficient planning and navigation framework, optimize algorithm performance, ensure engineering implementation, and continuously iterate.
- Collaborate with SLAM, chassis hardware, and motion control teams to analyze and close the loop on issues that arise during robot operation.
- Track cutting-edge planning algorithms, including but not limited to end-to-end AI navigation, such as GOAT (go to anything).

- Participate in the software development of robot controllers (including algorithm integration, communication middleware, bus drivers, etc.), follow the software development process, and be able to independently design and implement software.
- Collaborate with colleagues in algorithm, hardware, and AI to promote the system integration and ecosystem development of humanoid robot products.
- Participate in the analysis and resolution of issues related to the performance and reliability of the robot control system.
- Work with team members to build up software architecture, enhancing software development efficiency and quality.