About the role
AI summarisedResearch Scientist (AI Model Optimization), IPV, ARTC role at A*STAR in Singapore.
ResearchOnsite
Key Responsibilities
- Design and implement scalable AI deployment architectures that can handle high-throughput data streams from multiple high-resolution cameras and process sensors simultaneously.
- Conduct hardware-software co-design to optimize models for specific deployment targets (e.g., NVIDIA Jetson, TensorRT, FPGAs, or specialized AI accelerators).
- Develop and manage asynchronous data pipelines that ensure zero-bottleneck performance from image acquisition to "final sentencing" decisions.
- Establish rigorous performance profiling benchmarks to track model latency and memory footprint across various manufacturing environments.
Requirements
- Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or a related field with a focus on High-Performance AI.
- Deep understanding of AI Inference Engines (e.g., TensorRT, ONNX Runtime, OpenVINO).
- Mastery of Model Compression techniques (Pruning, Quantization, Distillation).
- Expertise in C++ and Python for high-performance implementation.