Principal AI Platform Architect (Windows, Snapdragon)

Qualcomm

San Diego (CA)

On-site

USD 201,000 - 301,000

Full time

14 days+
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Benefits offered by this job

Annual bonus
RSU grants
Competitive benefits package

Job summary

Qualcomm Technologies, Inc. seeks an experienced Windows platform architect to drive AI performance and power optimizations across software and hardware stacks for Snapdragon-based AI solutions.

You will influence system-level design and collaborate with OS partners, OEMs, and developers to deliver industry-leading performance and deployability. Ideal candidates bring deep expertise in architecture-aware AI model optimization on Windows PC/Laptop, proficiency with TensorFlow and PyTorch, and a

Qualifications

  • Bachelor's, Master's, or PhD with 6+ years hands-on HW/SW/Systems experience.
  • Deep knowledge of AI frameworks and performance optimization on Windows.
  • Experience with end-to-end system performance analysis and tuning.

Responsibilities

  • Understand trends in ML network design and their impact on SW/HW design.
  • Analyze bottlenecks in ML/AI workloads on Qualcomm stacks via simulation and on-device characterization.
  • On-device correlation and tuning of algorithms versus pre-silicon predictions.
  • Analyze Enterprise AI workflows and propose components for Snapdragon AI PCs with cloud integration.
  • Interface with cross-site teams to deliver performant reference implementations, tools, and documentation.
  • Propose new features in next-gen SoC system design to reduce bottlenecks.

Skills

TensorFlow
PyTorch
GPU programming
NPU programming
Python
C++
Leadership
Communication
Problem solving

Education

Master's or PhD in Computer Science or Electrical Engineering

Tools

Profiling tools
Windows development tools

Job description

Qualcomm Technologies, Inc. seeks an experienced Windows platform architect to drive AI performance and power optimizations across software and hardware stacks for Snapdragon-based AI solutions.

You will influence system-level design and collaborate with OS partners, OEMs, and developers to deliver industry-leading performance and deployability. Ideal candidates bring deep expertise in architecture-aware AI model optimization on Windows PC/Laptop, proficiency with TensorFlow and PyTorch, and a

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