Engineer, Staff GenAI QA

Qualcomm is seeking a Staff GenAI QA Engineer to join their innovative team focused on advancing state-of-the-art Machine Learning. This role is part of a growing 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 neural network frameworks and developing sophisticated validation frameworks for the Qualcomm Neural Network (QNN).

The ideal candidate will be responsible for creating and implementing test frameworks, working with TensorFlow and PyTorch, and ensuring the quality of AI/ML systems. This role requires a unique blend of software engineering expertise and machine learning knowledge, making it perfect for someone who wants to impact billions of mobile devices worldwide and contribute to autonomous features in the automotive industry.

The position offers comprehensive benefits including world-class health coverage, financial planning assistance, and professional development opportunities. Qualcomm provides a collaborative environment where innovation is encouraged and technical expertise is valued. The company's commitment to pushing technological boundaries and its global reach make this an excellent opportunity for someone looking to work at the forefront of AI and machine learning technology.

Working at Qualcomm means joining a team that values diverse expertise and fosters an inclusive culture where ideas contribute to world-changing innovations. The role offers significant growth potential and the chance to work alongside leading engineering and technology experts in the industry.