Machine Learning & Artificial Intelligence Engineering Internship (May 2026)

Join Qualcomm as a Machine Learning / AI Engineering Intern to develop cutting-edge solutions for next-generation mobile and embedded ML platforms.

Your Role

Key responsibilities include:

• Design, develop, and test software for machine learning tools and frameworks to optimize models for edge devices.
• Work in a dynamic research environment as part of a multi-disciplinary team of researchers and software developers.
• Collaborate with internal teams and work with popular neural network frameworks.
• Gain exposure to Qualcomm’s SOC compute and ML hardware accelerators.
• Contribute to projects powering smartphones, autonomous vehicles, robotics, and IoT devices.

About You

The company is looking for candidates who meet the following 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.
• Available for 11–14 weeks during Summer 2026 (May–September).
• Expected graduation date of November 2026 or later.
• 1+ years of experience with programming languages such as C, C++, Python.
• Preferred: Enrolled in a Master’s or PhD program with anticipated graduation between November 2026 and June 2027.
• Proficiency in deep neural networks, machine learning algorithms, and architectures (CNNs, RNNs, LSTMs).
• Experience with ML 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 linear algebra operations and fast math libraries.
• Theoretical knowledge of ML, deep learning, model compression, quantization, and optimization.
• Experience with reinforcement learning, neural architecture search, kernel optimization, Bayesian optimization.
• Familiarity with on-device training, transfer learning, personalization, federated learning, NLP, and ML security/privacy.
• Experience with deep generative models, audio/speech processing, NLP, computer vision, and wireless communication.
• Background in ML data pipelines, data management, backend/frontend applications.
• Research excellence with publications in NeurIPS, CVPR, ICML, ICLR, ICCV.
• Experience in object-oriented software design (OOSD).

Compensation & Benefits

• Competitive hourly pay up to $98.00.
• Annual discretionary bonus program and opportunity for annual RSU grants (not applicable to sales-incentive plans).
• Highly competitive benefits package supporting work, home, and play.
• Relocation coverage and furnished housing accommodations for the duration of the internship.
• Accrued vacation time.

Training & Development

Interns receive mentorship, support from managers, and access to the Qualcomm employee community. The program includes professional development workshops, social events, cross-functional speaker sessions, and an executive speaker series.

Career Progression

Interns join world-class teams contributing to next-generation technology, gaining real-world experience and technical skills that support long-term career growth in AI, computing, and connectivity.

How to Apply

By applying, candidates express interest in Qualcomm’s 2026 Machine Learning / AI Engineering internships. Resumes are reviewed on an ongoing basis, and recruiters may contact candidates. Advancing applicants may be invited to complete a timed HackerRank challenge to assess technical skills.

This job may close before the stated closing date, you are encouraged to apply as soon as possible

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