Machine Learning & Artificial Intelligence Engineering Internship – Summer 2027

Qualcomm; San Diego (CA); On-site; USD 23,000 - 135,000; Full time

Benefits offered by this job

Competitive pay

Relocation coverage

Furnished housing

Professional development workshops

Social events

Executive speaker series

Job summary

Qualcomm Technologies, Inc. is seeking a Machine Learning/AI Engineering Intern for the Summer 2027 program.

You will contribute to state-of-the-art ML platforms powering mobile and embedded devices, collaborating with researchers and software developers across multiple teams. Ideal candidates are enrolled in a bachelor's, master’s, or PhD program in computer engineering, CS, or EE, with 1+ year coding experience (C/C++, Python) and a 11–14 week summer commitment.

Qualifications

• Currently enrolled in a bachelor’s, master’s, or Ph.D. in computer engineering, computer science, electrical engineering, or related field.
• Available for 11–14 weeks Summer 2027 (May–September).
• Expected graduation date November 2027 or later.
• 1+ years of programming experience (C, C++, Python).

Responsibilities

• Assist in building ML/AI engineering tools and frameworks for edge devices.
• Collaborate with multi-disciplinary team including researchers and software developers.
• Work with popular neural network frameworks and ML hardware accelerators.
• Design, develop and test software for ML workloads and model deployment.

Skills

C/C++

Python

Software development

ML basics

Education

Bachelor's/Master's/PhD in CE/CS/EE

Tools

TensorFlow

PyTorch

LLVM

GCC

CUDA

Kubernetes

Job description

Company:

Qualcomm Technologies, Inc.

Job Area:

Interns Group, Interns Group > Interim Engineering Intern - SW

General Summary:

About QualcommQualcomm relentlessly innovates transforming businesses, enriching lives and fortifying societies. Our solutions are pivotal in crafting a smarter, interconnected world. Building on our nearly 40-year history of era-defining technology breakthroughs, we deliver leading-edge AI, high performance, lower-power computing, and unrivaled connectivity. We’re proud to be the partner of choice to many of the world’s largest enterprises. Together with our ecosystem partners, we enable next-generation digital transformation. At Qualcomm, we are engineering human progress.

Join Us in Shaping the Future

At Qualcomm, we're committed to engineering human progress by delivering intelligent computing everywhere. We're passionate about harnessing the power of technology to transform industries and improve lives. Our early career programs offer limitless opportunities for growth, mentorship, and meaningful work. By joining our team, you'll be part of a community that's pushing the boundaries of what's possible in AI, computing, and connectivity. With a global footprint spanning over 30 countries, you'll have the chance to collaborate with diverse talent and contribute to projects that are shaping the future of technology. Our programs provide real-world experience, technical skills, and professional development opportunities, empowering you to make a meaningful impact and achieve your career goals. Join us for our U.S. 2027 summer intern class!

Role Overview

As a Machine Learning / AI Engineering Intern, you will help build best-in-class solutions and tools that enable state-of-the-art technologies for next-generation mobile and embedded machine learning platforms. These platforms power smartphones, autonomous vehicles, robotics, and IoT devices. You’ll work in a dynamic research environment as part of a multi-disciplinary team of researchers and software developers, collaborating with internal teams, working with popular neural network frameworks, and gaining exposure to Qualcomm’s SOC compute and ML hardware accelerators. Projects may also focus on AI systems infrastructure, distributed inference platforms, compiler technologies, runtime systems, GPU acceleration, model serving, performance optimization, and large-scale deployment of machine learning workloads. You will design, develop, and test software for machine learning tools and frameworks that make models smaller and more efficient for 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
• Must be available for 11–14 weeks during Summer 2027 (May–September)
• Expected graduation date of November 2027 or later
• 1+ years of experience with programming languages such as C, C++, Python

Preferred Qualifications

• 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 2027 and June 2028
• 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
• Experience with AI infrastructure, inference systems, distributed computing, runtime systems, GPU programming, CUDA, Kubernetes, MLIR, or performance optimization of machine learning workloads.
• 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)

Qualcomm’s Internship Program

Our interns join world-class teams to help define and build what is next for mobility and the world. You’ll be paired with a mentor with visibility to your project and team, receive support from your manager, and have access to the entire Qualcomm employee community to ensure your success. To round out your summer internship, we host professional development workshops, social events, cross-functional speaker sessions, and an executive speaker series. In addition to competitive hourly pay and accrued vacation time, you will receive relocation coverage and furnished housing accommodations for the duration of your internship.

• Competitive hourly pay and accrued vacation time
• Relocation coverage
• Furnished housing accommodations for the duration of your internship
• Professional development workshops
• Social events
• Cross-functional speaker sessions
• Executive speaker series

Internship opportunities may be available in the following locations, depending on team and project needs: Austin, Boulder, Boxborough, Bridgewater, Chandler, Irvine, New York City, Louisville, Raleigh, San Diego, Santa Clara, and Seattle.

Export Control Notice

This role may require an export license for candidates with citizenship in certain countries (see current country list below – subject to change). Qualcomm, like other companies, is experiencing significant delays in the export license process. Please be advised that if an export license is required, you may not be able to start work with Qualcomm until the license is granted, which may impact your ability to participate in the internship.

Countries requiring export: Armenia, Azerbaijan, Belarus, Burma (Myanmar), Cambodia, China, Cuba, Georgia, Hong Kong, Iran, Iraq, Kazakhstan, Kyrgyzstan, Laos, Libya, Macau, Moldova, Mongolia, Nicaragua, North Korea, Russia, Sudan, Syria, Tajikistan, Turkmenistan, Ukraine, Uzbekistan, Venezuela, Vietnam, and Yemen.

To all Staffing and Recruiting Agencies

Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer

Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Pay range and Other Compensation & Benefits

Pay range and Other Compensation & Benefits: $17.00 - $98.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.