1 day ago
Hanoi, Vietnam or Ho Chi Minh City, VietnamStaff+
Responsibilities
- Conduct original applied research in efficient generative AI, including LLMs, multimodal and text-to-image models, quantization, efficient architectures, and inference.
- Provide technical leadership for research and applied projects and guide research directions aligned with company objectives.
- Mentor Engineering AI Residents and foster collaboration and technical growth.
- Lead the transition of research into production-ready solutions for real-world and commercial applications.
- Contribute to Qualcomm initiatives in efficient AI and embedded intelligence.
- Publish research in top-tier AI/ML conferences such as NeurIPS, ICML, CVPR, ICCV, ACL, and EMNLP.
Requirements
- Bachelor’s, master’s, or PhD in Computer Science, Electrical Engineering, Engineering, Information Systems, or a closely related field.
- At least 4 years of related experience with a bachelor’s degree, 3 years with a master’s degree, or 2 years with a PhD.
- Deep expertise in generative AI, LLMs, multimodal language-vision models, LLM reasoning, and diffusion models.
- Hands-on experience with model training, fine-tuning, evaluation, and optimization pipelines.
- Preferred experience includes top-tier generative-AI publications, efficiency techniques such as PTQ, QAT, and speculative decoding, and deployment on edge devices.
- Familiarity with ONNX and/or other intermediate-representation graphs.
Benefits
- Opportunity to work at a globally recognized AI research organization on impactful projects with real-world deployment.
- Collaboration with researchers across Qualcomm’s global network.
- Inclusive and innovation-focused work environment.
- Competitive compensation and career development opportunities.
Categories
AI ResearchML Engineering
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.