Senior, Engineer

General Summary:

• s 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:

• Lead the 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.
• Mentor and coach junior engineers, providing development experiences and networking opportunities.
• Address and resolve issues related to AI models optimizations, ensuring high performance and accuracy of AI models.
• 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.

Minimum Qualifications:

• Bachelor degree in Engineering, Computer science or a related field and 4+ years of experience of Software engineering or related work experience
• OR
• Master degree in Engineering, Computer science or a related field and 3+ 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 C++ / Python
• Proficient in Data structures and algorithms
• Hands on expertise in deep learning frameworks such as ONNX, PyTorch
• In depth knowledge of state-of-the-art CV, NLP, LLM, GenAI, Classification and Object detection model architectures
• Good understanding of Quantization (8-bit, 4-bit) and Calibration algorithms
• Good understanding of machine learning compiler techniques and graphs optimizations
• Good understanding of SW design patterns and design philosophies (SOLID principles, design patterns)
• Excellent analytical, development, and debugging skills
• Knowledge of machine learning compilers (TVM, Glow) is a plus
• Knowledge of machine learning runtimes like ONNX Runtime and TF runtimes is a plus

Minimum Qualifications:

• Bachelor''s degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience
• ORMaster''s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience
• ORPhD in Engineering, Information Systems, Computer Science, or related field