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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

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.

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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