As a Machine Learning/AI Engineering Intern at Qualcomm, you will develop and optimize machine learning tools and frameworks for edge devices, working with neural network architectures, ML compilers, and hardware accelerators. You'll collaborate with a multi-disciplinary team on projects spanning model compression, inference optimization, compiler technologies, and distributed ML systems for smartphones, autonomous vehicles, robotics, and IoT platforms.… The role requires proficiency in programming (C++, Python), deep learning frameworks (TensorFlow, PyTorch), and exposure to GPU acceleration, performance optimization, and large-scale ML deployment. You will design, develop, and test software that makes models smaller and more efficient for next-generation mobile and embedded machine learning platforms.
federated-learning jobs in San Diego
This is a hands-on Domain Architect role for an experienced software engineer to design and implement comprehensive AI Agent control frameworks for large-scale enterprise systems. The role combines architectural leadership with deep technical implementation across agent identity/authentication, multi-agent orchestration, post-training customization, policy enforcement, and anomaly detection.… The candidate will lead architectural design, mentor junior engineers, collaborate across AI/Security/Infrastructure teams, and drive both product implementation and emerging research—requiring 5+ years of software engineering and AI expertise with demonstrated experience in multi-agent systems, cryptographic identity/auth methods, and modern AI development stacks.