DSP System​/Hardware Architect

General Summary

Do you ever wonder when connected devices will 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 a season AI Systems Architecture Engineer to be part of the Qualcomm AI Processor team responsible for analyzing and developing Artificial Intelligence / Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling machine‑learning hardware and processors, as well as 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.

• Analyzing and optimizing custom processors/accelerators.
• Developing and training data-driven architecture models.
• Correlating these models.
• Performing system-level architecture analysis.

• 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 communication skills (written and verbal).
• Analytical, thorough, resourceful, and detail-oriented.
• Self‑motivated, hardworking, and flexible.

• 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.

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

Applicants:
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail disability‑ or call Qualcomm's toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.

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