As a Machine Learning Engineer at Qualcomm, you will leverage advanced machine learning techniques to develop and optimize solutions across various technology verticals. This role involves collaboration with cross-functional teams to enhance mobile, edge, auto, and IoT products through innovative hardware and software. You will be responsible for creating frameworks and tools that facilitate the efficient use of state-of-the-art machine learning solutions. The position requires a strong background in machine learning, programming, and embedded systems.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of relevant work experience, or a Master's degree with 3+ years, or a PhD with 2+ years.
• 5+ years of experience with machine learning frameworks such as TensorFlow, Caffe, or PyTorch.
• 5+ years of experience in embedded system development and optimization related to machine learning.
• 5+ years of experience with programming languages suitable for machine learning, including Python, R, C, or C++.
• 5+ years of experience using statistics and probability.
• 2+ years of experience with low-level interactions between operating systems and hardware.

• Leverage advanced machine learning knowledge to enhance training or runtime frameworks with new features.
• Model, architect, and develop advanced machine learning hardware for inference or training solutions.
• Develop optimized software to enable AI models deployed on hardware.
• Apply machine learning techniques into products and AI solutions for customer use.
• Prototype novel machine learning solutions aligned with product roadmaps.
• Oversee and conduct experiments to train and evaluate machine learning models.

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