Senior Staff Engineer - AI Systems Architect

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 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.

Minimum Qualifications:

Experienced candidates (8-12 years) are welcome to apply.

• Industry experience in image processing, computer vision, machine learning and video domain.
• Strong motivation and ability in learning new subjects especially in the field of artificial intelligence
• Excellent understanding of image processing and computer vision fundamentals.
• Strong programming skills in C\C++, Python, OpenGL
• Strong multithreading, and OS concepts\fundamentals.
• Collaborate with cross-functional teams to design, implement, and debug machine learning software applications
• 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:

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

Responsibilities:

The successful candidate(s) will be responsible for:

• Leverage advanced computer architecture knowledge for analyzing and optimizing custom processors/accelerators
• Develop and train data-driven architecture models, correlating these models, and performing system-level architecture analysis.
• Design, develop and test advanced solutions for AI processors.
• Work independently with minimal supervision
• Provide guidance/supervision to team members

Education requirements:

• Required: Master’s Computer Engineering and/or Electrical / Electronic Engineering
• Preferred: PhD in Computer Engineering and/or Electrical / Electronic Engineering (focus on Image processing, Computer vision, Machine learning)

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

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