Research Scientist (AI Model Optimization), IPV, ARTC
A*STAR RESEARCH ENTITIES
Singapore
Not specified
Quantization-aware training (qat)
Neural architecture search (nas)
Tensorrt and onnx runtime
A*STAR Research Entities is seeking a Research Scientist specializing in AI Model Optimization to lead research in optimization techniques and develop scalable AI architectures. The ideal candidate will have a Ph.D. in relevant fields, at least one year of experience, and a strong understanding of AI inference engines and model compression techniques
Job Summary
Lead research into state-of-the-art optimization techniques to minimize latency for AI models in manufacturing environments.
Design scalable AI deployment architectures capable of processing high-resolution camera streams and sensor data simultaneously.
Conduct hardware-software co-design to optimize models for specific targets like NVIDIA Jetson, TensorRT, and FPGAs.
Matching Summary
Match Score: 85
A*STAR Research Entities is seeking a Research Scientist specializing in AI Model Optimization to lead research in optimization techniques and develop scalable AI architectures. The ideal candidate will have a Ph.D. in relevant fields, at least one year of experience, and a strong understanding of AI inference engines and model compression techniques.