Senior Embedded ML Systems Architect (Mobile AI)

QUALCOMM, Inc.

San Diego (CA)

On-site

USD 235,000 - 352,000

Full time

6 days ago
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Job summary

Qualcomm Technologies, Inc. seeks an experienced Embedded ML SW Architect focused on Snapdragon Mobile products to drive AI software architecture and system design for high-performance, power-efficient mobile AI solutions.

You will influence the SW stack from CPU/GPU/NPU to memory lifecycle, work with cross-functional teams, and push innovations in agentic AI systems and edge AI deployments.

Qualifications

  • Bachelor's degree with 8+ years of Hardware/Software/Systems Engineering or related field.
  • Master's degree with 7+ years of Hardware/Software/Systems Engineering or related field.
  • PhD with 6+ years of Hardware/Software/Systems Engineering or related field.

Responsibilities

  • Develop architecture for AI features on Snapdragon Mobile products; recommend architecture enhancements.
  • Independently research and work cross-functionally to define requirements. Hands on prototype development.
  • Architect on-device agentic experiences, including memory management and heterogeneous compute placement.
  • Architect memory model-state lifecycle management for on-device LLM/SLM serving.
  • Evaluate memory bandwidth and data-movement constraints to maximize AI throughput.

Skills

Embedded ML
Performance optimization
CPU/GPU/NPU orchestration
Android/mobile platforms
C/C++ programming
Python
System design
Leadership
Strong communication
Problem solving

Education

Bachelor's degree
Master's degree
PhD

Tools

TensorFlow
PyTorch
LoRA/adapter-based fine-tuning
LLMs/SLMs

Job description

Qualcomm Technologies, Inc. seeks an experienced Embedded ML SW Architect focused on Snapdragon Mobile products to drive AI software architecture and system design for high-performance, power-efficient mobile AI solutions.

You will influence the SW stack from CPU/GPU/NPU to memory lifecycle, work with cross-functional teams, and push innovations in agentic AI systems and edge AI deployments.

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