Staff Machine Learning Engineer

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.

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 foste r 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).

BSc, 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.

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  disability-accomodations@qualcomm.com  or call Qualcomm's toll-free number found  here . Upon request, Qualcomm will