Qualcomm Machine Learning & Artificial Intelligence Engineering Internship – Summer 

United States, North Carolina, Raleigh 

740960790

Job Area:

Interns Group, Interns Group > Interim Engineering Intern - SW

you will be involved and participate in building best-in-class solutions and tools needed to enable state-of-the-art technologies for next generation mobile/embedded machine learning platforms for smart phones, autonomous vehicles, robotics and IOT devices. In this role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software developers, collaborate with internal teams, work with popular neural network frameworks, and understand the architecture of Qualcomm’s SOC compute and ML HW accelerators. You will design, develop & test software for machine learning tools and frameworks that enable making models smaller and run efficiently on all edge devices.

Minimum Qualifications

• Currently enrolled in a bachelor’s, master’s, or Ph.D. degree program in computer engineering, computer science, electrical engineering, or a related field

• 1+ years’ experience with programming language such as C, C++, Python.

• Must be available for 11 – 14 weeks during Summer 2025 (May-September) with a graduation date of December 2025 or later

Preferred Qualifications

• Proficiency in deep neural networks, machine learning algorithms, and architectures, including CNNs, RNNs, and LSTMs.

• Experience with deep learning and machine learning frameworks like TensorFlow, TFLite, PyTorch.

• Skills in neural network programming, video/image processing, and application development.

• Knowledge of compiler frameworks (LLVM, GCC, TVM, XLA) and parallel computing.

• Understanding of mathematical operations in linear algebra and fast math libraries.

• Theoretical knowledge of machine learning, deep learning, model compression, quantization, and optimization.

• Experience with reinforcement learning, neural architecture search, kernel optimization, and Bayesian optimization.

• Proficiency in on-device training, transfer learning, personalization, federated learning, NLP, and security and privacy in machine learning.

• Experience with deep generative models, audio/speech processing, NLP, computer vision, and wireless communication.

• Previous work on machine learning data pipelines, data management, and both backend and frontend applications.

• A track record of research excellence with high-quality publications in conferences like NeurIPS, CVPR, ICML, ICLR, and ICCV.

• Experience in object-oriented software design (OOSD).

• Candidates currently enrolled in a Master’s or Ph.D. degree program in computer engineering, computer science, electrical engineering, or a related field.

• Candidates actively pursuing a degree with an anticipated graduation within the upcoming year preferred Dec 2025 to June 2026.

By applying here, you are expressing interest in one of our many 202Machine Learning/ AI EngineeringWe will review resumes on an ongoing basis, and a recruiter may reach out to you

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

$15.30 - $98.00