AI System/Hardware Architect
QualcommJob Title
AI System/Hardware Architect
Role Summary
Work on the Qualcomm AI Processor team to model and analyze machine-learning hardware and processors, and to evaluate algorithms in machine learning, computer vision, and video processing for mobile and edge devices.
Primary activities include system-level architecture analysis, data-driven architecture modeling, and optimization of custom processors and accelerators to support AI workloads on Snapdragon platforms.
Experience Level
Senior. Typical experience guidance from the posting: approximately 2+ years with a Bachelor's, 1+ year with a Master's, or a PhD-level background; title indicates an architect-level role.
Responsibilities
Key responsibilities for this role include:
- Model and analyze machine-learning hardware, processors, and custom accelerators.
- Develop, train, and correlate data-driven architecture models for performance and efficiency prediction.
- Perform system-level architecture analysis to guide design trade-offs for AI workloads.
- Analyze and evaluate algorithms in machine learning, computer vision, and video processing for mobile/edge deployment.
- Optimize compute and memory usage on target processors and accelerators.
- Collaborate with cross-functional teams to translate algorithmic requirements into hardware/software architecture decisions.
Requirements
Must-have technical skills and attributes.
- Proficient in C/C++ and Python.
- Knowledge of data-driven modelling techniques.
- Understanding of computer and hardware architecture.
- Strong problem-solving ability and attention to detail.
- Effective written and verbal communication skills; able to work on a team.
- Self-motivated, adaptable, and able to learn new subjects in AI and hardware rapidly.
- Preferred / Nice-to-have: familiarity with machine learning, computer vision, digital image processing, advanced computer architecture, OOP principles, and GPU programming/architecture.
Education Requirements
Posting specifies a Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (with 2+ years of relevant engineering experience), OR a Master's in those fields (with 1+ year of relevant experience), OR a PhD in those fields.
About the Company
Company: Qualcomm
Headquarters: San Diego, California, United States
Qualcomm is a global leader in semiconductor and telecommunications equipment, specializing in mobile technologies and innovations. Known for its Adreno GPUs, the company provides solutions enabling advancements in mobile gaming, AI, VR/AR, and autonomous driving. Qualcomm's cutting-edge technology and commitment to high-performance, power-efficient designs drive the evolution of mobile graphics and connectivity worldwide.
