Customer Engineer - AI / ML

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$108,300–$162,500 / yr
Posted
43 days ago
Closes
Oct 21, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $205k
This role $135k
$92k most similar roles pay here $261k

This role pays less than 93% of similar roles. Most pay $165,852–$244,287 — the shaded band above. At the midpoint, this role pays about $135k versus about $205k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 558 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 401 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · Customer Engineer - AI / ML

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As a Customer Engineer at Qualcomm Technologies, Inc., you will join the Snapdragon platform team to support device, application, and solution partners in integrating AI experiences on embedded systems using CPU, GPU, and NPU acceleration. Your daily tasks include optimizing models for efficient deployment, providing technical guidance during development, and ensuring seamless transitions from prototype to commercialization. You must be proficient in C/C++ and Python, with experience in ML frameworks like PyTorch or TensorFlow, and familiar with operating systems such as QNX, Linux, or Android. Ideal candidates have a strong background in embedded software development, machine learning accelerators, and AI/ML pipelines, along with skills in debugging tools and cross-functional collaboration to resolve technical challenges and enhance product features.

Skills

C/C++ Python PyTorch TensorFlow OpenCV Linux QNX Android ML frameworks JTAG GDB LLMs Vision-language models Snapdragon platforms MLOps Linear algebra Quantization Deep learning architectures Debugging tools CI/CD

What you'll do

  • Support deployment of AI models on Snapdragon platforms from development to commercialization.
  • Optimize AI workload performance and provide guidance for efficient deployment.
  • Implement model improvement techniques to enhance performance and efficiency on-device.
  • Execute project deliverables end-to-end, including testing and system verification.
  • Propose new product/feature concepts and validate their feasibility and impact.
  • Improve tools, workflows, and documentation by identifying gaps and implementing enhancements.

What we're looking for

  • 2+ years of embedded software development experience
  • Proficiency in C/C++ and Python programming languages
  • Experience developing, training, or deploying models using ML frameworks like PyTorch or TensorFlow
  • Familiarity with machine learning accelerators for embedded AI and inference optimization
  • Strong understanding of neural network fundamentals including linear algebra and deep learning architectures
  • Skilled in building and maintaining ML/MLOps pipelines for reliable deployment
  • Experience with debugging tools for troubleshooting embedded systems and AI applications

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