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 crucial in developing test frameworks for Qualcomm Neural Network (QNN), working with cutting-edge neural network frameworks like TensorFlow and Pytorch. The position involves creating validation frameworks to assess functionality, performance, precision, and power of QNN while staying current with industry developments.

The ideal candidate will have 9-14 years of relevant experience and strong expertise in Python programming, test automation, and CI/CD practices. Knowledge of AI, ML, and GenAI is particularly valuable. The role offers an opportunity to work with Qualcomm's extensive heterogeneous computing capabilities and impact billions of mobile devices worldwide.

Qualcomm provides a comprehensive benefits package including world-class health coverage, financial planning support, and wellbeing programs. The company fosters a culture of innovation and continuous learning, offering tuition reimbursement and mentorship programs. This position allows you to work alongside leading engineering and technology experts while contributing to world-changing innovations in machine learning and artificial intelligence.

The role is based in Hyderabad, India, where you'll be part of a globally diverse team working on next-generation AI technologies. This is an excellent opportunity for an experienced professional looking to make a significant impact in the field of AI and machine learning while working for a leading technology innovator.