QT Technologies Ireland Limited
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
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.
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.
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