Senior Embedded ML Architect – Mobile AI Systems

QUALCOMM, Inc.; San Diego (CA); On-site; USD 235,000 - 352,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking a highly experienced Embedded ML SW Architect (Principal or Director level) in San Diego to lead architecture and design for Snapdragon Mobile AI software.

You will shape high-level designs, drive performance and power improvements, and collaborate with hardware, software, and product teams. The role requires deep expertise in mobile software architectures, cross-functional leadership, and hands-on prototyping for agentic AI systems on resource-constrained

Qualifications

• Experience with AI frameworks (TensorFlow, PyTorch).
• Hands-on with LLM/SLM workloads on embedded devices.
• Architect SW frameworks for heterogeneous multi-processor systems.
• Knowledge of Android/Embedded platforms.

Responsibilities

• Develop architecture for AI features on Snapdragon Mobile.
• Research, define requirements, and prototype ideas.
• Architect on-device agentic experiences across CPU/GPU/NPU.
• Design memory/model-state lifecycle management for on-device LLM/SLM serving.
• Evaluate memory bandwidth and data movement constraints for AI workloads.
• Lead design reviews and coordinate with external partners.

Skills

AI frameworks - TensorFlow / PyTorch

Agentic AI architectures

C/C++

Python

Mobile platform optimization

Performance analysis

Memory management

Education

Bachelor's degree in Computer Science / Engineering / related field

Master's degree in Computer Science / Engineering / related field

PhD in Computer Science / Engineering / related field

Tools

C

C++

Python

Typescript

Java

Kotlin

Job description

Qualcomm Technologies, Inc. is seeking a highly experienced Embedded ML SW Architect (Principal or Director level) in San Diego to lead architecture and design for Snapdragon Mobile AI software.

You will shape high-level designs, drive performance and power improvements, and collaborate with hardware, software, and product teams. The role requires deep expertise in mobile software architectures, cross-functional leadership, and hands-on prototyping for agentic AI systems on resource-constrained