AIBox Lead

Lead the overall architecture design and technical implementation of AI multimodal interaction system based on AIBox solution, to engage and demonstrate RG’s ambition of AIDV.

• Lead the overall architecture design of the AIBox based multimodal interaction system, covering the hierarchical design of the multimodal perception fusion layer, AI decision engine layer, and interaction execution layer, and deliver architecture design documents (SAD), interface specifications, and technical solution white papers.
• Be responsible for the core technology selection of multimodal interaction, including the evaluation and adaptation of AIBox HW&SW solution.
• Design the multimodal data fusion architecture to realize real-time collaboration and intelligent decision-making between Cockpit and AIBox.

• Track cutting-edge technologies on in-vehicle large model adaptation, emotional interaction, cross-modal context understanding, and edge-cloud collaborative interaction, formulate technology evolution roadmaps, and drive the implementation of next-generation cockpit AI interaction architectures.
• Be responsible for the design and development of multimodal interaction middleware, provide standardized AI interaction interfaces (e.g., voice wake-up, visual command, and gesture control interfaces), and support the multimodal interaction integration of upper-layer cockpit applications (navigation, entertainment, and vehicle control).

• Work closely with the design team, product requirements team, System team to deliver technical solutions and support, and develop design and technical documentation.
• Leverage partners to confirm technical implementation plans and set up testing or demonstration environments.
• Maintain clear, consistent communication between internal and external stakeholders.

• Responsible for the HW&SW architecture design and development of AIBox based multimodal interaction system, providing targeted, high-performance technical solutions to demonstrate RG’s AIDV concept.

• On-Time Delivery: Percentage of milestones achieved on schedule.
• Product Quality: Number of issues identified post-release vs. during development.
• Stakeholder Feedback: Feedback from internal and external partners on communication and project alignment.

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