Computer Vision & AI Engineer

Responsibilities

• Design and develop system architectures for computer vision SDKs and applications across Android, Windows, and Linux platforms
• Develop efficient deep learning architectures and models for embedded systems
• Create advanced AI and deep learning algorithms to enrich applications for Smartphone, IoT, and Extended Reality

Requirements

• Master's or PhD in Electrical Engineering, Computer Science, or a closely related field
• 3+ years of professional experience in deep learning software development
• 2+ years of experience developing practical deep learning algorithms using PyTorch, TensorFlow, or similar frameworks
• Proficiency in C++ (including object-oriented programming) and Python
• Strong background in mathematics, machine learning fundamentals, and computer vision or computer graphics
• Excellent software design, problem-solving, and debugging skills

Preferred Qualifications

• Expertise in network architectures such as VAE, GAN, diffusion, transformer, Gaussian Splatting, NeRF, U-Nets, or ResNets
• Experience with deep learning model pruning, compression, and quantization for edge device execution
• Professional experience in GUI and gstreamer development
• Experience with Qualcomm platforms such as SNPE, QNN, or QAIRT
• Experience using LLM code assistants for engineering workflows

About the Company

Qualcomm is a global leader in wireless technology and semiconductor innovation. Our Multimedia R&D computer vision Group develops cutting-edge AI and deep learning solutions that power the next generation of mobile, IoT, and extended reality devices.