On-Device Deployment & Optimization of Large Models:
Responsible for deploying and optimizing the multimodal large model, and optimizing the large model inference engine to significantly reduce memory footprint and response latency, meeting the real-time interaction requirements of the cockpit.
Design & Implementation of AI Agents
Design and develop AI Agents for cockpit scenarios, enabling them to understand complex instructions, plan tasks, and invoke in-vehicle functions and services.
Build the Agent's mechanisms for multimodal perception, memory, and decision-making to deliver personalized, proactive, and contextual services.
Build a unified cockpit AI service framework and provide standardized, high-performance AI capability interfaces for upper-layer applications.
Communication and Collaboration
Liaise with external vendors to confirm technical implementation plans and set up testing or demonstration environments.
Maintain clear, consistent communication between internal and external stakeholders.
Scope of Action:
Responsible for the design, development and scenario optimization of the cockpit AI service, and providing standardized interfaces for the upper-layer HMI systems.
Key Performance Indicators (KPIs):
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.
Job Family
Research & Development
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Additional Information
Company
RENAULT BEIJING AUTO CO
Job Description
Mission:
Responsible for developing and building on-device multimodal large model deployment and optimization, as well as cockpit AI Agent development for the smart cockpit, aiming to turn cutting-edge AI technologies into safe, reliable and smooth in-vehicle intelligent interactions and services.
Alliancewd · Hangzhou