Sr. Staff Engineer, Machine Learning Engineering (Quantization SW)

Qualcomm

Actively hiring
San Diego, CA Posted 25 days ago $178,400–$267,600 / year
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At a glance

AI generated

TL;DR

Join Qualcomm Technologies, Inc.'s AI Research team as a Senior Software Engineer specializing in advancing Gen AI Technology for the Edge, focusing on model fine-tuning, hardware acceleration, and edge inference. You will work in a dynamic research environment alongside multi-disciplinary teams of researchers and software engineers using cutting-edge AI frameworks like PyTorch and ONNX. Your daily tasks include architecting, designing, developing, and testing techniques such as graph optimization, pruning, and quantization to enhance model performance on devices ranging from smartphones to autonomous vehicles. Ideal candidates possess strong software engineering skills, a solid foundation in AI and ML, hands-on experience with model optimization frameworks like Huggingface Optimum and OpenVino, and the ability to establish high-quality software delivery processes using industry best practices.

Skills

Python PyTorch ONNX Huggingface_Optimum OpenVino CI/CD Git Agile ML_frameworks Model_optimization Quantization Pruning Edge_inference Neural_networks Code_review Automation

What you'll do

  • Architect and design model optimization techniques for AI frameworks.
  • Develop and test graph optimization, pruning, and quantization methods.
  • Evaluate and optimize Generative AI workflows for performance and accuracy.
  • Implement ML model optimization using tools like PyTorch and ONNX.
  • Deploy GenAI LLM/LVM models on edge devices with strong Python skills.
  • Establish high-quality software delivery processes using industry best practices.

What we're looking for

  • Strong background in AI and machine learning techniques.
  • Proven experience evaluating and optimizing Generative AI workflows.
  • Hands-on experience with ML model optimization frameworks and techniques.
  • Expertise in Python design and implementation for AI projects.
  • Experience deploying GenAI models on edge devices and profiling them.
  • Knowledge of neural networks and familiarity with PyTorch, ONNX.
  • Strong software engineering skills and agile development experience.

Market check

Salary context

This $178,400–$267,600 range sits above 62% of similar postings on FindRole.

Peer median band

$155,420–$241,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$169,463–$244,000

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Qualcomm

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

Qualcomm currently has 567 open roles on FindRole.

Listed pay typically runs $148,300–$226,100 across 534 roles with salary data.

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View all roles at Qualcomm

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