Qualcomm | Research Engineer Intern

Hanoi, HCMC

Intern

17/09 — 01/10/2025

Job Description

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STEP 1:
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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.

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