端到端具身智能系统架构专家 - 火山引擎
Core
Design end-to-end VLA embodied system architecture for physical agents, optimizing model deployment, inference scheduling, and data interaction for real-time performance on edge devices.
Role type
Senior IC system architect (embodied AI/VLA)
Builds
End-to-end embodied intelligence systems for physical agents
Domain
Autonomous driving / Embodied AI / Edge computing
Deliverable
production ML models
Required skills
End-to-end autonomous driving system architecture, VLA/VLM/multimodal model deployment, ROS2/DDS middleware, NVIDIA Orin/Thor chip adaptation, model quantization, real-time systems, OTA/fault monitoring
Preferred skills
0-1 architecture build experience, closed-loop simulation, cross-team collaboration
Responsibilities
Lead end-to-end VLA system architecture design and performance optimization; Define system interfaces and layering for perception, navigation, and control modules; Establish system-level validation and release mechanisms; Design safety boundaries and redundancy strategies; Collaborate across teams to scale embodied AI capabilities from prototype to production.
Seniority
Senior, hands-on IC
