Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Machine Learning & Artificial Intelligence Engineering Internship – Summer 2027 role.

Rezi rewrites your resume against Qualcomm's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Machine Learning & Artificial Intelligence Engineering Internship – Summer 2027 posting at Qualcomm — free, in seconds.

About the Role

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.

Responsibilities

Design, develop, and test software for machine learning tools and frameworks that make models smaller and more efficient for edge devices.

Requirements

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

Skills

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)

Location

Austin
Boulder
Boxborough
Bridgewater
Chandler
Irvine
New York City
Louisville
Raleigh
San Diego
Santa Clara
Seattle

Work Type

Internship

Experience Level

Intern

Education Level

Bachelor’s degree
Master’s degree
Ph.D. degree

Salary/Compensations

$17.00 - $98.00

Benefits

Competitive hourly pay
Accrued vacation time
Relocation coverage
Furnished housing accommodations
Professional development workshops
Social events
Cross-functional speaker sessions
Executive speaker series
Competitive annual discretionary bonus program
Opportunity for annual RSU grants

About the Company

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.
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!

Equal Opportunity

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.