Staff Engineer - AISW

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

Qualcomm is 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's degree in Engineering, Computer science or a related field and 4+ years of experience of Software engineering or related work experience

OR

Master’s 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

Experience - 7+ yrs

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ 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.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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