Staff Machine Learning Engineer – AI/ML Compiler
Qualcomm
At a glance
AI generatedAs a Staff Software Engineer at Qualcomm Technologies' AI Hub team, you will develop cutting-edge tools for optimizing and deploying machine learning models on edge devices, focusing on the AIMET open-source library. Your daily tasks include designing quantization algorithms, implementing advanced techniques like weight-only and sub-4-bit quantization, and integrating workflows with PyTorch and ONNX. You will also build developer-friendly APIs and tooling to ensure seamless model optimization for Qualcomm hardware, while maintaining automated pipelines and evaluation harnesses for large-scale deployment via AI Hub. The role requires expertise in Python, deep learning frameworks, and a solid understanding of neural network architectures, along with experience in model quantization techniques and ARM processors. You will collaborate across teams to drive technical alignment and influence the AIMET product roadmap and cross-BU strategy.
Skills
What you'll do
What we're looking for
Market check
This $158,400–$237,600 range sits above 45% of similar postings on FindRole.
Peer median band
$160,600–$260,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$176,000–$246,150
Middle half of comparable postings.
Based on 239 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 595 open roles on FindRole.
Listed pay typically runs $148,300–$222,500 across 540 roles with salary data.
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