Qualcomm's Computer Vision Systems team is seeking a machine learning R&D engineer to advance AI-accelerated computer vision on edge devices. The role involves developing and optimizing algorithms for resource-constrained SoC platforms across various applications such as mobile, automotive, and robotics. The engineer will work within a multidisciplinary team to propose new intellectual property and influence system-level architecture. This position is ideal for individuals passionate about cutting-edge computer vision and AI technologies.

• Bachelor's degree in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of relevant work experience, or a Master's degree with 1+ year of experience, or a PhD.
• Strong background in computer vision and video processing algorithms.
• 3+ years of experience developing and implementing computer vision and video algorithms within system-level products.
• Hands-on experience with modern deep learning architectures.
• Strong coding skills in Python, with experience in ML/CV frameworks such as PyTorch, TensorFlow, ONNX, and OpenCV.

• Research, design, and implement critical video processing and computer vision algorithms.
• Develop optimized model architectures and training strategies for deployment of deep learning at the edge.
• Profile and optimize algorithm and model performance across various constraints on mobile and embedded platforms.
• Collaborate closely with cross-functional teams to ensure new algorithms meet customer requirements.
• Write clear and concise technical documentation, design specifications, and feature descriptions.

• Qualcomm offers competitive compensation, annual bonuses, stock programs, comprehensive healthcare coverage, retirement plans, wellness programs, parental leave, flexible work options, and professional development opportunities.