Engineer, Staff GenAI QA

Qualcomm is seeking a Staff GenAI QA Engineer to join their growing team focused on advancing state-of-the-art Machine Learning. This role is part of a team that leverages Qualcomm's heterogeneous computing capabilities to run trained neural networks on devices without cloud connectivity. The position involves working with cutting-edge technology that impacts billions of mobile devices worldwide and advanced autonomous features for the automotive industry.

The successful candidate will be responsible for developing and maintaining test frameworks for Qualcomm Neural Network (QNN), working with modern neural network frameworks like TensorFlow and PyTorch. This role requires a unique blend of software engineering expertise and machine learning knowledge, as you'll be developing validation frameworks to assess functionality, performance, precision, and power efficiency of QNN implementations.

The position offers an opportunity to work with the latest developments in AI/ML, requiring constant engagement with emerging technologies from both industry and academia. You'll be part of a globally diverse team, contributing to Qualcomm's innovation in neural network optimization and deployment on mobile platforms.

Qualcomm offers comprehensive benefits including world-class health coverage, financial planning support, wellbeing programs, and continuous learning opportunities. The company's culture promotes innovation, collaboration, and professional growth, making it an ideal environment for technology professionals looking to make a significant impact in the AI/ML space.

The role requires strong technical skills in Python programming, test automation, and CI/CD practices, combined with excellent communication abilities and problem-solving capabilities. You'll be working in a fast-paced environment where quality and innovation are paramount, contributing to solutions that push the boundaries of what's possible in mobile AI technology.