AI Machine Learning Software Engineer, Up to Senior Staff Level (Taipei)
Qualcomm
·Feb 2, 2026
- Location
- Taipei, Taipei City,TW, TW
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 4+ years
- Education
- PhD
- Source
- Eightfold
Description
Research to Production: Lead efforts in transitioning research (e.g., new quantization techniques, efficient CLIP encoders) into production-ready solutions, enabling real-world applications and commercial impact.' Performance Tuning: Evaluate and optimize neural networks' runtime performance (latency, memory, power) and accuracy using tools like AIMET and QNN SDK. Software Development: Develop software tools for profiling and debugging to support the rapid deployment of new neural networks. Feature Enablement: Work with customer teams to enable state-of-the-art network models and new AI SW features to meet customer use-cases, and collaborate with AI hardware teams to continuously improve our AI solution. Master's degree in Electrical Engineering, Computer Science, Mathematics, Physics, or a closely related field with 7+ years of relevant experience, or a PhD with 4+ years of experience. Proficient in modern C, C++, and Python. Deep experience in neural network deployment, quantization, and model compression (specifically for Transformers/LLMs). Solid understanding of neural network inference frameworks for embedded systems (e.g., QNN, TFLite, NCNN, ONNX). 8+ years of experience in embedded Linux development or AI/ML application engineering. Experience in video/image processing, computer vision, or multimedia algorithm development (relevant for CLIP/Vision tasks). Hands-on experience with LLM/CLIP model pipelines, including fine-tuning, evaluation, and optimization on NPU/DSP. Familiarity with hardware accelerators (Hexagon DSP) and embedded architectures. Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
