The role focuses on developing an advanced Edge AI deployment platform that releases Generative AI and Physical AI from the cloud to industrial edge devices
Job Summary
The role focuses on developing an advanced Edge AI deployment platform that releases Generative AI and Physical AI from the cloud to industrial edge devices.
Candidates will be responsible for training, fine-tuning, and deploying AI models while ensuring efficient operation under limited compute and memory constraints.
The position requires expertise in heterogeneous chip integration including NVIDIA, Intel, and Qualcomm to solve data privacy and real-time control challenges.
Matching Summary
The role focuses on developing an advanced Edge AI deployment platform that releases Generative AI and Physical AI from the cloud to industrial edge devices.
Skills & Requirements
Must-have
Python AI development
PyTorch deep learning framework
Edge device model deployment
Vue.js React frontend skills
Docker containerization
Nice-to-have
NVIDIA Triton Inference Server experience
SQL NoSQL database design
Java Go backend development
AI coding assistant usage
Model optimization for low power
Key Requirements
Master's degree in Engineering or Computer Science