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.’
GenAI Optimization: Drive the development of optimization algorithms for ML operators/layers specific to Generative AI (e.g., KV-cache optimization, attention acceleration) within the Qualcomm AI SW stack.
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.
Minimum Qualifications
Master's degree in Electrical Engineering, Computer Science, Mathematics, Physics, or a closely related field with 5+ years of relevant experience, or a PhD with 2+ 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).
Preferred Qualifications
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/VLM model pipelines, including fine-tuning, evaluation, and optimization on NPU/DSP.
Experience with Qualcomm AI Stack specifically "AI Engine Direct SDK (QNN)" and "AI Model Efficiency Toolkit (AIMET)".
Familiarity with hardware accelerators (Hexagon DSP) and embedded architectures.
Minimum Qualifications
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 2+ years of Software Engineering or related work experience.
2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
Minimum Qualifications
- 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.
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