Mô tả công việc
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.
- 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.
- PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.