AI Systems Architect Senior Engineer

Job Posting Date

2025-07-30

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Do you ever wonder when will connected devices become thinking devices? Be part of the group that is working on technology that will bring “Cognition” to all connected devices: That means devices that don’t just think but instinctively react to their surroundings.

We are searching for an AI Systems Architect Engineer to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, computer vision and video processing that bring artificial intelligence to mobile and edge devices.

Responsibilities include analyzing and optimizing custom processors/accelerators, developing and training data-driven architecture models, correlating these models, and performing system-level architecture analysis.

Minimum Qualifications:

Experienced candidates (1 - 4 years) are welcome to apply with experience in the following area:

• Strong academic records (GPA 3.0 or 72% and better)
• Excellent programming skills in C/C++, Python
• Strong problem-solving skills
• Strong motivation and capabilities in learning new subjects especially in the field of artificial intelligence
• Knowledge of data-driven modelling
• Knowledge of computer and hardware architecture
• Effective interpersonal communications skill (written and verbal)
• Analytical, thorough, resourceful, and detail-oriented
• Self-motivated, hardworking, and flexible

Preferred Qualifications:

• Basic understanding of machine learning, computer vision, and digital image processing algorithms and applications
• Advanced understanding of computer architecture
• Advanced understanding of data-driven modelling
• Excellent verbal, written, and presentation skills
• Ability to work effectively as part of a team
• Knowledge of OOP principles
• Knowledge of GPU Programming / Architecture is a bonus

Minimum Education Required:

• Masters/Bachelor’s Computer Engineering, Electrical Engineering or Engineering Science

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

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