Machine Learning & Artificial Intelligence Engineering Internship - Summer 2027

Company Qualcomm Technologies, Inc. Job Area Interns Group, Interns Group > Interim Engineering Intern - SW General Summary About Qualcomm Qualcomm 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 early career programs are designed to attract inventive minds, offering a platform to contribute to our long-term innovation pipeline. You'll be part of a community that values collaboration, creativity, and continuous learning. 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! Maximize Your Opportunities Our internship hiring model routes candidates from this application into multiple project specific roles. Your "Profile Visibility" choice will guide how we manage your data across our systems. To be considered for the full breadth of internship opportunities, select the option to use your profile data for "Any Roles Globally". If you choose to limit your data to "Only The Role I'm Applying For", it will restrict the opportunity for you to be considered across matching internship opportunities. You can update your profile visibility preferences at any time through the Candidate Home Portal. Steps Log Into Your Eightfold Candidate Home Account Hover Over The "Profile" Dropdown Open Settings Edit "Profile Visibility" 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. This internship supports the Machine Learning/ AI Engineering track. Based on your resume you will be aligned to projects within this track. 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. 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. Application Process By applying here, you are expressing interest in one of our many 2027 Qualcomm Machine Learning / AI Engineering internships. It is important to note that this is not a job posting for a specific project. We will review resumes on an ongoing basis, and a recruiter may reach out to you. Advancing candidates may be invited to complete a timed HackerRank challenge to evaluate their technical skill set. 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. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail View email address on click.appcast.io or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). 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. 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. 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. #J-18808-Ljbffr Qualcomm