Qualcomm-posted 3 months ago
Intern
Remote • Boxborough, MA
5,001-10,000 employees
Computer and Electronic Product Manufacturing

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. 2026 summer intern class!

  • Help build best-in-class solutions and tools 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 and work with popular neural network frameworks.
  • Gain exposure to Qualcomm's SOC compute and ML hardware accelerators.
  • Design, develop, and test software for machine learning tools and frameworks.
  • 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.
  • 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).
  • Competitive hourly pay and accrued vacation time.
  • Relocation coverage and furnished housing accommodations for the duration of your internship.
  • Professional development workshops, social events, cross-functional speaker sessions, and an executive speaker series.
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