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Job Description
Enable and deploy AI models (e.g., BEV, object detection, segmentation, classification) on Gen4/5 SoC platforms with CNNIP/DSP/NPU HWA. Perform model performance analysis (latency, throughput, multi-core scaling) and identify bottlenecks related to memory bandwidth, scheduling, or operator mapping. Support model optimization workflows, including:Post-Training Quantization (PTQ)Quantization-Aware Training (QAT) collaborationOperator fusion...
About the Role
Job Description
Job Summary
We are looking for an AI Application Engineer to support the enablement, optimization, and deployment of AI models on automotive-grade SoCs.
In this role, you will work closely with internal compiler/runtime teams and external customers to bring AI models from training to optimized inference on embedded NPU/DSP platforms, with a strong focus on performance, accuracy, and system integration.
Key Responsibilities
AI Model Enablement & Optimization
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