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Research Engineer Intern | Qualcomm Careers | Engineering Jobs and More | Qualcomm

Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.

General Summary:

Job Summary 

At Qualcomm AI Research Vietnam, Research Engineer Interns contribute to the development of on-device intelligent, autonomous systems by supporting the design, prototyping, and evaluation of agentic AI applications. Interns work alongside experienced Research Scientists and Engineers to explore cutting-edge ideas in planning, reasoning, and interaction. This internship offers hands-on experience in building AI agents, running experiments, and contributing to impactful research and product initiatives.
 

Key Responsibilities

• Prototype Development: Assist in building and testing agentic AI prototypes that demonstrate autonomous behavior and decision-making.

• Experimentation: Support the design and execution of experiments to evaluate agent performance and behavior in simulated or real-world environments.

• Collaboration: Work closely with mentors and research teams to translate theoretical ideas into practical implementations.

• Tooling & Support: Help develop tools and scripts for data processing, model training, and evaluation.

• Documentation: Maintain clear and organized documentation of code, experiments, and findings to support reproducibility and team collaboration.

Requirements

Education & Background

• Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, or a related field.

• Academic or project experience in AI/ML, with interest in autonomous systems, reinforcement learning, or intelligent agents.

Technical Skills

• Proficiency in Python and familiarity with deep learning/generative frameworks such as PyTorch/TensorFlow and transformers.

• Proficiency in finetuning framework for LLM and LVM

• Exposure to agentic AI concepts such as planning, decision-making, or reinforcement learning.

• Basic understanding of data handling and model evaluation.

Soft Skills

• Eagerness to learn and contribute to research-driven projects.

• Strong problem-solving and analytical thinking.

• Good communication and teamwork skills.