Staff Machine Learning Engineer
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Sep 7, 2026. Qualcomm scores B on the Alion truth index.
Company:
Qualcomm Vietnam Company Limited, Hanoi Branch OfficeJob Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:
We are hiring aStaff 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, includingLLM, VLM and text-to-imagemodels, efficient architecturesand quantization,efficient inferencing, and on-device model deployment. You will lead and contribute to high impactapplied 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 andEngineeringAI 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.
MentorEngineeringAI Residentsto fostercollaboration, 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
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.
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, …) forlarge language models (LLMs), multi-modal language-vision models, and diffusion models.
Hands-on experience with modeldeployment 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.
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