Senior Engineer – Multimodal ML R&D (Audio, Vision & Language)

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

The Advanced Technology R&D team is seeking a highly motivated Multimodal AI Research Engineer to design, develop, and commercialize next-generation AI solutions across audio, video, and language domains. 
 
In this role, you will work at the intersection of research and productization, building state-of-the-art multimodal models and enabling their efficient deployment on Snapdragon platforms powering mobile devices, XR systems, and IEOT. 
 
You will collaborate closely with algorithm, systems, hardware, and software teams to bring cutting-edge innovations from concept and prototyping to scalable, real-world deployments. 

Key Responsibilities 

• Design and develop multimodal AI models across audio, vision, and language 
• Build solutions using transformers, diffusion models, and multimodal fusion techniques 
• Optimize models for Snapdragon platforms (CPU, DSP, NPU) 
• Collaborate across hardware, systems, and software teams 
• Transition research into production-ready solutions and support commercialization 

Preferred Qualifications 

• Experience in multimodal AI, generative AI, or vision-language systems 
• Strong understanding of Transformers, CNNs, diffusion models 
• Proficiency in PyTorch or TensorFlow 
• Experience in on-device AI optimization and deployment 
• Ability to work in cross-functional global teams 

Education & Experience 

• Master’s or Ph.D. in Electronics, Computer Science, Electrical Engineering, or related field 
• 2+ years of experience in CV, NLP, audio, or multimodal AI domains in academia/Industry 

Keywords 

Multimodal AI, Generative AI, Vision-Language Models, Audio AI, Edge AI,  Vision Transformers 

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.

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