Staff Research Engineer - GenAI Models, Machine Learning Engineering

Company:

Qualcomm Vietnam Company Limited, Hanoi Branch Office

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

We are hiring a 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 LLM, VLM and text-to-image models, efficient architectures and quantization, efficient inferencing, and on-device model deployment. You will lead and contribute to high impact applied 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 Engineering AI Residents, and drive innovation aligned with Qualcomm’s strategic priorities. 

Key Responsibilities 

• Conduct original and cutting-edge applied research in efficient generative AI: LLMs, multi-modal and text-to-image models, quantization, efficient architectures and inferencing, and others. 

• Provide technical leadership in research and applied projects and guide research directions to best support company objectives. 

• Mentor Engineering AI Residents to foster 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). 

Required Qualifications 

• MSc or PhD in Computer Science, Electrical Engineering, or a closely related field. 

• 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. 

Preferred Qualifications 

• 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.) regarding generative AI. 

• Deep expertise in efficiency techniques (PTQ, QAT, speculative decodings, …) for large language models (LLMs), multi-modal language-vision models, and diffusion models.  

• Hands-on experience with model deployment on edge devices. Familiar with ONNX and/or other IR graphs. 

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, innovative-driven environment. 

• Enjoy competitive compensation and career development opportunities. 

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.

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).

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.