Job
Description
Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. The AI SW team at Qualcomm is focused on advancing state-of-the-art in Artificial Intelligence across various business segments, including Mobile, AR & VR Technology, IoT, and Auto ADAS. The AISW stack leverages Qualcomm chips' extensive heterogeneous computing capabilities, enabling the running of trained neural networks on devices without needing a cloud connection. This allows neural network models trained in various frameworks on Snapdragon platforms to run at blazing speeds while consuming minimal power. As a Senior Lead Engineer, you will see your work directly impact billions of devices worldwide. Key Responsibilities: To design, development, and implementation of AI/ML solutions across multiple domains. Collaborate with cross-functional teams to ensure seamless integration of AI/ML components within the broader framework Address and resolve issues related to AI models finetuning, quantization, compression and graph level optimizations, ensuring high performance and accuracy of AI models. Should possess good analytical skills - Consistently gather, integrate, and interpret information from different sources and conduct in depth analysis to find the root causes, provide recommendations, and effectively solve moderate to highly complex problems. Conduct research on industry trends and innovations in AI/ML to adopt best practices in solutions and deliverables. Develop and optimize quantization techniques for AI/ML models, ensuring efficient execution on Qualcomm hardware Manage project timelines, objectives, and goals, ensuring efficient use of resources across functional areas. Mentor and coach junior engineers, providing development experiences and networking opportunities. Minimum Qualifications: Bachelor's degree in Engineering, Computer science or a related field and 5+ years of experience of Software engineering or related work experience OR Masters degree in Engineering, Computer science or a related field and 4+ years of experience of Software engineering or related work experience: Experience with SW architecture and programming languages. Experience with tools and frameworks such as PyTorch, TensorFlow, ONNX, and others. Preferred Qualifications: Excellent development skills in Python / C++ Proficient in Data structures and algorithms Hands on expertise in deep learning frameworks such as ONNX, PyTorch, etc In depth knowledge of state-of-the-art Computer Vision, NLP, LLM, LVM and LMM. Good understanding of Quantization (8-bit, 4-bit) and Calibration algorithms Good understanding of machine learning compiler techniques and graphs optimizations Excellent analytical, development, and debugging skills Good understanding of SW design patterns and design philosophies (SOLID principles, design patterns) Knowledge of machine learning runtimes like ONNX Runtime and execuTorch. Knowledge of AI model efficiency toolkit (AIMET), Snapdragon Neural processing engine is a plus. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
