As a Machine Learning Engineer at Qualcomm, you will be at the forefront of technology innovation, creating and implementing machine learning techniques and tools. You will collaborate with cross-functional teams to enhance mobile, edge, auto, and IoT products through advanced machine learning solutions. The role requires a strong background in hardware and software engineering, as well as experience in developing optimized machine learning architectures. You will also provide technical expertise and guidance to team members while influencing key organizational decisions.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of relevant work experience, or a Master's degree with 5+ years, or a PhD with 4+ years.
• 5+ years of experience with machine learning frameworks such as TensorFlow, Caffe, or PyTorch.
• 5+ years of experience with low-level interactions between operating systems and hardware.
• 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, such as Python or C++.
• 5+ years of experience using statistics and probability.
• 3+ years of experience working in a large matrixed organization.
• 2+ years of experience in a role requiring interaction with senior leadership.
• 1+ year in a technical leadership role.
• Developed 1+ novel machine learning architecture.

• Leverage advanced machine learning knowledge to enhance training or runtime frameworks.
• Model, architect, and develop advanced machine learning hardware for inference or training solutions.
• Develop optimized software to enable AI models deployed on hardware.
• Lead the development and application of machine learning techniques into products and AI solutions.
• Develop and prototype novel machine learning solutions aligned with complex product roadmaps.
• Oversee and provide technical expertise to others conducting experiments for machine learning solutions.

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