Computer Vision Modeling Engineer, up to Staff

Qualcomm Computer Vision Systems group is seeking a talented Computer Vision Modeling Engineer to join their team working on Vision IP solutions for Snapdragon processors. This role sits at the intersection of computer vision, machine learning, and systems engineering, focusing on developing and optimizing vision algorithms for mobile, automotive, and AR/VR applications.

The position involves working with cutting-edge computer vision technology, where you'll be responsible for modeling complex algorithms, optimizing performance across different hardware platforms, and collaborating with cross-functional teams. You'll be working on systems that power next-generation devices and contributing to innovations in computer vision technology.

As a Computer Vision Modeling Engineer, you'll be involved in the entire development lifecycle - from algorithm design to implementation and optimization. Key responsibilities include modeling computer vision algorithms, optimizing performance on various hardware platforms (CPU, GPU, DSP), and ensuring robust system integration. You'll work with both Windows and Linux environments, using languages like C++, Python, and various optimization frameworks.

The ideal candidate brings strong technical skills in computer vision and machine learning, combined with practical experience in system modeling and optimization. You'll need to be comfortable with both theoretical aspects of computer vision algorithms and hands-on implementation details. Experience with embedded systems and hardware accelerators is crucial for this role.

Qualcomm offers a collaborative work environment where you'll be part of a team pushing the boundaries of computer vision technology. The company provides comprehensive benefits including health coverage, financial planning support, and continuous learning opportunities. This is an excellent opportunity for someone passionate about computer vision who wants to work on technology that impacts millions of devices worldwide.