Qualcomm · 16 hours ago
Machine Learning & Artificial Intelligence Engineering Internship – Summer 2026
New York, NY
Internship
Onsite
Intern
$0/hr - $98/hr
1+ years exp
Start in 2026 SummerQualcomm Technologies, Inc. is committed to engineering human progress through intelligent computing. As a Machine Learning / AI Engineering Intern, you will help build solutions for next-generation mobile and embedded machine learning platforms, collaborating with a multi-disciplinary team to design, develop, and test software for machine learning tools and frameworks.
Artificial Intelligence (AI)Generative AISoftwareTelecommunicationsWireless
Responsibilities
Help build best-in-class solutions and tools that enable state-of-the-art technologies for next-generation mobile and embedded machine learning platforms
Work in a dynamic research environment as part of a multi-disciplinary team of researchers and software developers
Collaborate with internal teams, working with popular neural network frameworks, and gaining exposure to Qualcomm’s SOC compute and ML hardware accelerators
Design, develop, and test software for machine learning tools and frameworks that make models smaller and more efficient for edge devices
Qualification
Required
Currently enrolled in a bachelor's, master's, or Ph.D. degree program in computer engineering, computer science, electrical engineering, or a related field
Must be 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
Currently enrolled in a Master's or PhD degree program in computer engineering, computer science, electrical engineering, or a related field
Candidates actively pursuing a degree with an 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)
Benefits
Competitive hourly pay
Accrued vacation time
Relocation coverage
Furnished housing accommodations
Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Company
Qualcomm
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.
10001+ employees
H1B Sponsorship
Qualcomm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2013)
2024 (1910)
2023 (3216)
2022 (2885)
2021 (2104)
2020 (1181)
Funding
Current Stage
Public CompanyTotal Funding
$3.5M1991-12-20IPO
1988-01-01Undisclosed· $3.5M
Leadership Team
Cristiano Amon
President and Chief Executive Officer
I
Isaac Eteminan
CEO
Recent News
Android Authority
2026-01-09
2026-01-09
PYMNTS.com
2026-01-08
Company data provided by crunchbase