Software Engineer, AI Tools

Qualcomm

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Raleigh, NC
Salary
$110,600–$165,800 / yr
Posted
127 days ago
Freshness
Confirmed live 2 days ago
Closes
Nov 3, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $182k
This role $138k
$97k most similar roles pay here $239k

This role pays less than 81% of similar roles. Most pay $150,212–$214,000 — the shaded band above. At the midpoint, this role pays about $138k versus about $182k 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 623 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 603 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · Software Engineer, AI Tools

Role Posting Log in to save

Software Engineer, AI Tools – Delegate will join the Machine Learning Engineering team to develop and implement machine learning techniques for efficient inference on edge devices. The role focuses on the software design and development of the Qualcomm AI Runtime (QAIRT) delegate for ExecuTorch, ONNX Runtime, and LiteRT frameworks. Key responsibilities include designing the graph compilation stack to lower various graphs to QAIRT APIs, validating performance and accuracy through detailed analysis, and debugging complex system issues. The candidate will utilize C, C++, and Python while working with deep learning frameworks like PyTorch, TensorFlow, and JAX. Additionally, the role involves adopting agentic AI workflows using tools like Claude Code to automate testing and development. Technical expertise in MLIR, various neural network architectures, and optimizing AI graph workloads for embedded platforms is highly valued.

What does a Software Engineer earn in North Carolina?

Median $173725 from 34 postings across 14 companies.

See salary data

Skills

Python C++ C PyTorch TensorFlow ONNX LiteRT ExecuTorch MLIR TfLite JAX TorchAO LLM LSTM Graph Compilation Agentic AI Claude Code

What you'll do

  • Design and develop the graph compilation stack for ExecuTorch, ONNX, and LiteRT graphs.
  • Lower machine learning graphs to QAIRT APIs for efficient inference on edge devices.
  • Optimize the performance and accuracy of AI models through detailed analysis and testing.
  • Debug complex software issues and perform root cause analysis to ensure system reliability.
  • Implement agentic AI workflows to automate testing, benchmarking, and development activities.
  • Participate in design and code reviews to ensure high-quality software development.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
  • 2+ years of software development experience using C, C++, and Python.
  • Strong software development skills including data structures, algorithm design, and object-oriented programming.
  • Foundational knowledge of Machine Learning and Deep Learning.
  • Experience working with deep learning frameworks such as TensorFlow, PyTorch, ONNX, or JAX.
  • Familiarity with various neural network architectures including DNNs, CNNs, RNNs, GANs, and LLMs.
  • Experience with graph compilation technologies like MLIR and optimizing AI workloads for embedded platforms.
  • Familiarity with the PyTorch ecosystem (ExecuTorch, TorchAO) and the TensorFlow ecosystem (TfLite, LiteRT).

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