Sr Engineer - AISW

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.

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

OR
PhD in Engineering, Information Systems, Computer Science, or related field.

About The Role ::

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 Engineer, you will see your work directly impact billions of devices worldwide.

Key Responsibilities:

Design and develop solutions for onboarding machine learning models onto Qualcomm devices.

Utilize various ML frameworks to implement and test models.

Ensure model accuracy and performance on devices, addressing any challenges that arise.

Identify and resolve issues in Python and ML models, determine root causes, and propose/implement fixes.

Apply sound reasoning to make informed judgments about solution design.

Write clean, maintainable code that adheres to good software design principles.

Collaborate with cross-functional teams to ensure high-quality solutions for customer requirements.

Minimum Qualifications:

Bachelors degree in engineering, Computer science or a related field and 2+ years of experience of Software engineering or related work experience

OR

Masters degree in engineering, Computer science or a related field and 1+ 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 runtimes like ONNX Runtime and TF runtimes is a plus



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