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職務編號: |
HW206549 |
職務類別: |
系統/軟韌體 |
職務說明: |
1. Port, integrate, and deploy algorithms to specific embedded platform such as NVIDIA, Qualcomm and etc. 2. Collaborate with AI/ML teams to optimize AI models on embedded platform. 3. Propose and implement optimization strategies to improve algorithm efficiency. 4. Analyze algorithm performance and resource utilization on embedded platforms. 5. Validate AI model input and output correctness and consistency during inference. 6. Design, develop, and maintain APIs, tooling, and reusable integration components and tools. 7. Integrate AI inference frameworks such as TensorRT, ONNX Runtime, and similar technologies. |
工作地點: |
基隆/台北 |
薪 資: |
面議 |
專長條件: |
1. Master's degree or above in Computer Science, Electronics, or related field. 2. 3+ years of experience deploying, porting, and optimizing algorithms in C/C++ on embedded systems. 3. Good understanding of SoC architectures (ARM, heterogeneous compute: CPU/GPU/DSP/NPU). 4. Hands-on experience with AI frameworks (TensorFlow, PyTorch or ONNX.) 5. Hands-on experience with model optimization tools (TensorRT, TVM, OpenVINO or SNPE, etc.). 6. Hands-on experience with hardware acceleration APIs (CUDA, OpenCL, Vulkan, or vendor SDKs). 7. Solid programming skills in C/C++ and Python. 8. Hands-on experience with version control tools, such as Git. 9. Solid problem-solving skills and the ability to think analytically and critically. 【Preferred Qualifications】 1. Experience in ADAS or autonomous driving systems. 2. Knowledge of computer vision pipelines (object detection, segmentation, tracking). 3. Familiarity with Yocto, Buildroot, or custom Linux BSPs. 4. Exposure to functional safety (ISO 26262) and cybersecurity. 5. Experience with CI/CD pipelines and embedded testing frameworks. 6. Experience in product commercialization (mass production) and production deployment. 7. Good knowledge of real-time systems and performance optimization techniques. |
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產業類別: |
電子/電腦/週邊 |
公司背景: |
上市電腦大廠 |
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