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.