As a Machine Learning Engineer at Qualcomm, you will be at the forefront of technology innovation, creating and implementing machine learning techniques and tools. Your work will enhance mobile, edge, auto, and IoT products through advanced machine learning solutions. You will collaborate with cross-functional teams to drive digital transformation and contribute to a smarter, connected future. This role requires a strong background in machine learning frameworks and embedded systems development.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of relevant work experience, or a Master's degree with 1+ year of experience, or a PhD.
• 2+ years of experience with machine learning frameworks such as TensorFlow, Caffe, or PyTorch.
• 2+ years of experience in embedded system development and optimization related to machine learning.
• 2+ years of experience in programming languages suitable for machine learning, including Python, R, C, or C++.
• 1+ year of experience with low-level interactions between operating systems and hardware.

• Apply machine learning knowledge to enhance training or runtime frameworks and model efficiency software tools.
• Model, architect, and develop machine learning hardware co-designed with software for inference or training solutions.
• Develop optimized software to enable AI models deployed on hardware, collaborating with team members for joint design.
• Assist in the development and application of machine learning techniques into products and AI solutions.
• Conduct complex experiments to train and evaluate machine learning models and software independently.

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