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Qualcomm

FY27 Intern - Software Engineering Internship 2027 - 6 months, Cork

Qualcomm · Interim Intern

Cork

Intern

SoftwareCI/CDC++DockerGitHugging FaceLangChainLinuxLLM / GenAIPandas / NumPyPythonPyTorchREST AssuredTensorFlow

Last seen 5h ago

Posted
5mo ago

Posted on 21 May 2026

Workplace
On-site

Work model: On-site

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

This role has closed. It's kept as a record — see Qualcomm's open roles or the similar live roles below.

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Company:

QT Technologies Ireland Limited

Job Area:

Interns Group, Interns Group > Interim Intern

General Summary:

About The Role

Various software engineering teams including but not limited to:

Data Center (Cloud AI), providing hands-on experience across system software, cloud infrastructure, and AI-based platforms.

AI Cellular, contributing to real-world engineering projects focused on 5G/6G systems, task automation, and AI-driven network analysis. You'll develop tools, prototypes, and frameworks for network performance analysis and optimization, while collaborating with senior engineers on end-to-end problem solving—from data to model to actionable insight and impact.

AI Automation Engineering AI/ML, and hardware engineering. You will get broad exposure to areas you are unlikely to encounter in a typical software placement, including GPU hardware verification flows, RTL simulation environments, and domain-specific AI model development.

Minimum Qualifications

Relevant skills include experience with one or more of the following:

Enrolled in a bachelor's or master’s degree in Data Science or Computer

Currently enrolled in a Bachelor’s or Master’s degree in Computer Science, Data Science, or related field

Strong proficiency in Python, including experience with ML libraries such as NumPy, Pandas, PyTorch, or TensorFlow

Understanding of data structures, algorithms, and software development fundamentals

Foundational knowledge of machine learning concepts, LLMs, and prompt engineering

Familiarity with ML Ops or AI Ops concepts including model lifecycle, deployment, and monitoring

Experience or exposure to APIs, automation, and building data pipelines or experimentation workflows

Basic understanding of networking fundamentals including TCP/IP and UDP

Working knowledge of Linux-based environments

Hands-on experience with LLM tools, agents, or workflows

Ability to develop, test, and iterate on AI or ML solutions and pipelines

Strong communication skills and ability to collaborate across teams

Demonstrated interest in AI and machine learning with a willingness to learn and apply concepts

Preferred Qualifications

An understanding of data structures and algorithms in context of software development.

Intermediate programming experience in C, C++, or Python

Experience with ML frameworks or ecosystems such as HuggingFace, LangChain, or similar tools

Exposure to model training, evaluation, or fine-tuning through coursework, projects, or research

Familiarity with version control and development tools such as Git, Docker, or CI/CD systems

Knowledge of vector databases or retrieval-based systems

Coursework or exposure to GenAI, Agentic AI, machine learning, or software engineering

Interest or exposure to systems-level topics such as hardware programming, performance optimization, or device-level development

Knowledge of cellular technologies (LTE 4G, 5G NR) or graphics systems (e.g., Vulkan, DirectX, OpenGL)

Familiarity with source control tools such as Git or Perforce.

Prior Work experience not required

Please note: You must have completed your second year of a Bachelor’s degree and ideally be in your second year of a Master's Degree

Internships will commence from as early as January 2027.

*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

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 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).

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.

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.

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

About Qualcomm

Qualcomm engineers heavily out of Cork, with Munich, Cambridge and Turin behind it. Chip and modem engineering — Cork is its main European R&D site, not a satellite office, though expect the roles to skew hardware/firmware over pure software.