Modular Engineering Internship – Summer 2027
QUALCOMM, Inc.
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Benefits offered by this job
Job summary
Qualcomm Technologies, Inc. invites energetic students to join the Modular Engineering internship track for Summer 2027 across multiple U.S. locations. You will contribute to AI infrastructure, model serving, and software development within AI/ML projects.
The program pairs interns with mentors, provides professional development workshops, and offers relocation coverage and furnished housing. Applicants must be enrolled in a degree program and available for 11–14 weeks.
Qualifications
- Currently enrolled in a bachelor’s, master’s, or Ph.D. degree program in computer science, computer engineering, electrical engineering, software engineering, mathematics, artificial intelligence, or a related technical field.
- Must be available for 11–14 weeks during Summer 2027 (May–September).
- Expected graduation date of November 2027 or later.
- 1+ years of academic or project experience with programming languages such as Python, C, C++, Rust, Go, or related languages.
Skills
Education
Tools
Job description
Qualcomm Technologies, Inc.
Interns Group, Interns Group > Interim Engineering Intern - SW
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.
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.
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!
At Modular, a Qualcomm company, we’re on a mission to revolutionize AI infrastructure by systematically rebuilding the AI software stack from the ground up. Our team, made up of industry leaders and experts, is building cutting-edge, modular infrastructure that simplifies AI development and deployment. By rethinking the complexities of AI systems, we’re empowering everyone to unlock AI’s full potential and tackle some of the world’s most pressing challenges. If you’re passionate about shaping the future of AI and creating tools that make a real difference in people’s lives, we want you on our team.
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.
- Log Into Your Eightfold Candidate Home Account
- Hover Over The "Profile" Dropdown
- Open Settings
- Edit "Profile Visibility"
As a Modular Engineering Intern, you will contribute to next-generation AI infrastructure and software technologies spanning the AI Inference stack. Depending on your background, interests, and project needs, you may work on AI/ML model bring up, AI Inference performance and optimization, compiler development, the Mojo programming language, GPU kernels and accelerator optimization, cloud and distributed systems, security, quality engineering, or software development tooling. You may help optimize AI models for inference workloads, develop high-performance software for GPUs and emerging accelerators, improve compiler and runtime technologies for MAX or Mojo, scale distributed AI systems, develop AI infrastructure and model-serving platforms, build automated performance and quality frameworks, or improve developer tooling and CI/CD systems. This internship supports the Modular Engineering track. Based on your resume, skills, and experience, you will be aligned to projects within this track.
- AI Inference & Model Serving
- AI Systems & Infrastructure
- GPU & Kernel Engineering
- Compilers, Runtimes & Programming Languages
- Distributed & Cloud Systems
- AI Performance & Optimization
- AI Quality, Evaluation & Reliability
- Platform & Developer Engineering
- Security Engineering
- Software Development & Full-Stack Engineering
- Developer Tools & Open-Source Technologies
- Currently enrolled in a bachelor’s, master’s, or Ph.D. degree program in computer science, computer engineering, electrical engineering, software engineering, mathematics, artificial intelligence, or a related technical field.
- Must be available for 11–14 weeks during Summer 2027 (May–September).
- Expected graduation date of November 2027 or later.
- 1+ years of academic or project experience with programming languages such as Python, C, C++, Rust, Go, or related languages.
- Candidates actively pursuing a degree with an anticipated graduation between November 2027 and June 2028.
- Experience with machine learning, deep learning, generative AI, LLMs, transformer architectures, AI inference, or ML frameworks and ecosystems such as PyTorch, TensorFlow, or Hugging Face.
- Knowledge or experience with compiler design, compiler/runtime implementation, programming languages, library development, APIs, or frameworks such as MLIR, LLVM, GCC, TVM, or XLA.
- Experience with parallel computing, GPU programming, high-performance computing, CUDA, ROCm, or other accelerator programming models, including kernel optimization, computer architecture, memory systems, memory layouts, or data movement.
- Experience developing or optimizing AI/ML models and workloads, including model acceleration, quantization, profiling, benchmarking, inference optimization, performance analysis, or translating AI research and existing model implementations into production-ready code.
- Knowledge or experience with distributed systems, cloud infrastructure, large-scale AI infrastructure, model serving, Kubernetes, cloud-native technologies, multi-node or multi-cluster deployments, or scalable inference systems.
- Experience with systems programming or software development using Python, C/C++, Rust, Go, object-oriented languages, Python multiprocessing/asyncio, or related technologies.
- Experience with software engineering, application development, operating systems, APIs, software libraries, developer tooling, build systems, release automation, testing, CI/CD, or developer productivity tools.
- Familiarity with AI/ML evaluation, software quality, unit/integration testing, regression detection, performance testing, benchmarking, observability, reliability engineering, reproducibility, or failure analysis.
- Experience with profiling and performance-analysis tools such as NVIDIA Nsight Systems, Nsight Compute, PyTorch Profiler, Linux perf, Intel VTune, or similar technologies.
- Knowledge or interest in software security, AI security, secure development, data protection, access controls, developer security tooling, AI-assisted coding tools, or secure AI systems and workflows.
- Experience building web, full-stack, AI/ML, or systems applications, developer integrations, technical examples, or other developer-facing solutions.
- Experience contributing to open-source projects, GitHub communities, technical documentation/blogs, developer education, or developer-focused technical content.
- Familiarity with AI developer and agentic coding tools or related developer workflows.
- Strong debugging, analytical, problem-solving, communication, and collaboration skills, with demonstrated curiosity and the ability to learn and operate effectively in a fast-paced engineering environment.
- Research experience or publications in relevant AI/ML, systems, compiler, or engineering areas is a plus.
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.
Austin, Boulder, Boxborough, Bridgewater, Chandler, Irvine, New York City, Louisville, Raleigh, San Diego, Santa Clara, and Seattle.
By applying here, you are expressing interest in one of our many 2027 Qualcomm Modular 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.
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.
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.
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 disability-accomodations@qualcomm.com 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).
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.
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.
$17.00 - $98.00
In addition to 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.
If you would like more information about this role, please contact Qualcomm Careers.
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