QUALCOMM VIETNAM ★ 5.0

Company

Qualcomm Vietnam Company Limited, Hanoi Branch Office

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary

About Qualcomm AI Research

Qualcomm AI Research is at the forefront of advancing the state of the art in artificial intelligence. Our global team of researchers and engineers is dedicated to pushing the boundaries of AI across generative AI, foundation models, multi-modal (text/image/video) generation, reasoning, reinforcement learning, with a strong emphasis on efficient on-device intelligence. The Vietnam team plays a critical role in driving cutting-edge research and system-level innovation, contributing to Qualcomm’s leadership in generative AI across mobile, automotive, XR, and robotics.

Position Summary

We are hiring multiple researchers at levels from Senior to Senior Staff Engineer to join our world-class team in Vietnam. Ideal candidates will have a strong publication record in top-tier AI/ML conferences and deep expertise in generative AI, including multi-modal foundation models, efficient architectures, LLM reasoning, reinforcement learning, autonomy, retrieval-augmented generation (RAG), and Agentic AI. You will lead and contribute to high-impact research initiatives, collaborate with global teams, and help transition cutting-edge models into real-world applications. Senior-level candidates are expected to demonstrate research leadership, mentor junior researchers and AI Residents, and drive innovation aligned with Qualcomm’s strategic priorities.

Key Responsibilities

• Conduct original and cutting-edge research in efficient generative AI: LLMs and multi-modal foundation models, reasoning with LLMs, reinforcement learning, RAG, Agentic AI and others.
• Provide technical leadership in research and applied projects and guide research directions to best support company objectives.
• Mentor AI Residents, junior researchers and engineers, fostering collaboration, growth and excellence in a dynamic R&D environment.
• Lead efforts in transitioning research into production-ready solutions, enabling real-world applications and commercial impact.
• Contribute to Qualcomm’s strategic initiatives in efficient AI and embedded intelligence.
• Publish in top-tier conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ACL, EMNLP, etc).
  
  
  

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  
  
  

OR

Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Required Qualifications

• MSc or PhD in Computer Science, Electrical Engineering, or a closely related field.
• Proven research excellence demonstrated by publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ACL, EMNLP, etc.).
• Deep expertise in generative AI, large language models (LLMs), multi-modal language-vision models, LLM reasoning, and diffusion models. Familiar with model optimization techniques such as quantization and distillation.
• Hands-on experience with model development pipelines, including training, fine-tuning, evaluation, and optimization.
  
  
  

Why Join Us

• Be part of a globally recognized AI research organization.
• Work on impactful projects with real-world deployment.
• Collaborate with top researchers across Qualcomm’s global network.
• Thrive in an inclusive, innovation-driven environment.
• Enjoy competitive compensation and career development opportunities.
  
  
  

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 [email protected] 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).

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