Generative AI Engineer (Up to Senior Staff level)

Job description

Company

Qualcomm Vietnam Company Limited

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Qualcomm AI Research is seeking an outstanding Applied Research Scientist with deep expertise in Large Language Models (LLMs) and Vision-Language Models (VLMs). This role focuses on advancing generative AI technologies and optimizing foundation models for deployment on resource-constrained devices. You will lead cutting-edge research on model architectures, training strategies, and efficiency techniques to enable next-generation AI experiences.

What You’ll Do

• Design and train state-of-the-art foundation models for multi-modal applications.
• Develop algorithms for efficient inference and model compression to meet on-device constraints.
• Collaborate across hardware, software, and systems teams to bring research innovations to life on next-generation devices.
• Your work will directly impact smartphones, autonomous vehicles, robotics, and IoT systems worldwide.

Foundation Model Fine-Tuning

• Lead fine-tuning of large-scale LLMs and VLMs for multi-modal and agentic tasks.

System Prototyping

• Build and validate agentic AI prototypes for on-device and cloud deployment.

Model Efficiency

• Innovate quantization, pruning, and distillation strategies without sacrificing accuracy.

Programming & Experimentation

• Implement solutions in Python and PyTorch; manage large-scale experiments and benchmarks.

Mentoring & Training

Provide guidance and mentorship to junior engineers and ERP residents, fostering technical growth and professional development.

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.

• Ph.D. in Computer Science, Machine Learning, or related field (or equivalent experience).
• Proven experience in training large-scale LLMs/VLMs or foundation models.
• Strong background in deep learning, generative AI, and multi-modal architectures.
• Proficiency in Python and PyTorch; experience with distributed training frameworks.

Preferred Qualifications

• 3+ years of hands-on experience in developing and optimizing foundation models.
• Strong expertise in quantization, pruning, and techniques for efficient inference.
• Familiarity with hardware-aware AI optimization and deploying models on edge devices.
• Track record of publications in leading ML/AI conferences (e.g., NeurIPS, ICML, CVPR, ACL).

Applicants

Qualcomm is an equal opportunity employer.

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