Lead Engineer

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: 

• Design, develop, and maintain high-quality software solutions using Python for running machine learning models on Qualcomm devices.

• Contribute to the development and optimization of AI models, using popular frameworks like Pytorch.

• Build tools and infrastructure for onboarding, debugging and analysis of AI models.

• Participate in code reviews and ensure adherence to best practices and coding standards.

• Debug accuracy and performance on devices, addressing any challenges that arise. 

• Collaborate with cross-functional teams to define, design, and ship new features.

• Own end-to-end development and release of features and lead and mentor a sub-team of engineers. 

Minimum Qualifications: 

Bachelor’s degree in engineering, Computer science or a related field and 5+ years of professional experience in software engineering or related work experience 

OR  

Master’s degree in engineering, Computer science or a related field and 4+ years of experience of Software engineering or related work experience 

• Solid understanding of fundamental computer science concepts, general programming principles and practices.

• 4+ years of hands-on professional experience in programming with Python (preferred) / Java / C++.

• Strong problem-solving skills and the ability to work independently and as part of a team.

• Basic knowledge of AI concepts and techniques

• Excellent communication skills and the ability to articulate complex technical concepts.

• Willingness to learn advanced concepts in AI and machine learning and keep updated with latest industry trends

Preferred Qualifications: 

• Experience with machine learning frameworks and tools such as PyTorch, ONNX.

• Familiarity with Large Language Models (LLMs) and Transformers

• Familiarity working with Linux systems and hardware devices

• Experience with mobile development frameworks and tools (e.g., Android SDK, Kotlin).