Staff Software Engineer

About this role

## Company: Qualcomm Technologies, Inc. ## Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software. Minimum Qualifications: • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience

OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Preferred Qualifications: · Master’s degree or PhD in Computer Science, Electrical/Computer Engineering, Robotics, or a related field with specialization in edge AI, computer vision, or embedded ML. · 5+ years of experience with performance‑critical programming in C++, Python, including hardware‑aware optimization

· 5+ years of experience with modern ML framework such as PyTorch, ONNX Runtime, TensorRT, TVM, OpenVINO, or Qualcomm’s AI toolchain including SNPE, QNN. · 3+ years of experience developing real‑time edge AI systems with emphasis on vision, multimoda

Apply for this role on Qualcomm’s official careers site.