Machine Learning Scientist, Up to Senior Staff Level (AI Research Vietnam)
SunGreenH2
Software Engineering, Data Science
Ho Chi Minh City, Vietnam
Posted on Mar 14, 2026
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
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
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.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.
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).
- 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.
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.
- 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.
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.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers.