Software (Sr.) Engineer(Embedded/林口)
Core
Develop and deploy Generative AI and Physical AI models to edge devices for industrial clients, optimizing for privacy, real-time control, and efficiency on heterogeneous hardware.
Role type
Senior Embedded AI Engineer (Edge Deployment)
Builds
Edge AI deployment platform integrating NVIDIA, Intel, and Qualcomm chips for industrial monitoring and control.
Domain
Industrial AI / Edge Computing / Generative AI
Deliverable
production ML models
Required skills
Python, Machine Learning, Deep Learning, PyTorch, ONNX, Linux, Docker, Vue.js, React, Java, Go
Preferred skills
NVIDIA Triton Inference Server, SQL/NoSQL
Technologies
Nodejs, Vue, React, PyTorch, ONNX, OpenVINO, TensorRT, Docker, Git, VSCode
Responsibilities
Train, fine-tune, and deploy AI models to edge devices; optimize models for limited compute/memory/power constraints; develop backend services and frontend interfaces; manage heterogeneous chip integration.
Seniority
Senior, hands-on IC
