Staff Machine Learning Engineer

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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

• 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, …) 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.

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