Company:

Qualcomm India Private Limited:

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Job Description:

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:

· Bachelor’s degree in engineering, Computer science or a related field and 2+ years of experience of Software engineering or related work experience

OR

Master’s 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 Py Torch, Tensor Flow, 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, Py Torch

· 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

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.

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